Neptune - LlamaIndex

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id="__nav_7_32_3_label" tabindex="0"> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_32_3_label" aria-expanded="true"> <label class="md-nav__title" for="__nav_7_32_3"> Graph Stores </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../falkordb/" class="md-nav__link"> Falkordb </a> </li> <li class="md-nav__item"> <a href="../kuzu/" class="md-nav__link"> Kuzu </a> </li> <li class="md-nav__item"> <a href="../memgraph/" class="md-nav__link"> Memgraph </a> </li> <li class="md-nav__item"> <a href="../nebula/" class="md-nav__link"> Nebula </a> </li> <li class="md-nav__item"> <a href="../neo4j/" class="md-nav__link"> Neo4j </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type="checkbox" id="__toc"> <label class="md-nav__link md-nav__link--active" for="__toc"> Neptune </label> <a href="./" class="md-nav__link md-nav__link--active"> Neptune </a> <nav class="md-nav 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class="md-nav__item"> <a href="../../kvstore/azure/" class="md-nav__link"> Azure </a> </li> <li class="md-nav__item"> <a href="../../kvstore/azurecosmosnosql/" class="md-nav__link"> Azurecosmosnosql </a> </li> <li class="md-nav__item"> <a href="../../kvstore/couchbase/" class="md-nav__link"> Couchbase </a> </li> <li class="md-nav__item"> <a href="../../kvstore/dynamodb/" class="md-nav__link"> Dynamodb </a> </li> <li class="md-nav__item"> <a href="../../kvstore/elasticsearch/" class="md-nav__link"> Elasticsearch </a> </li> <li class="md-nav__item"> <a href="../../kvstore/firestore/" class="md-nav__link"> Firestore </a> </li> <li class="md-nav__item"> <a href="../../kvstore/mongodb/" class="md-nav__link"> Mongodb </a> </li> <li class="md-nav__item"> <a href="../../kvstore/postgres/" class="md-nav__link"> Postgres </a> </li> <li class="md-nav__item"> <a href="../../kvstore/redis/" class="md-nav__link"> Redis </a> </li> <li class="md-nav__item"> <a href="../../kvstore/s3/" class="md-nav__link"> S3 </a> </li> <li class="md-nav__item"> <a href="../../kvstore/simple/" class="md-nav__link"> Simple </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_32_6" > <label class="md-nav__link" for="__nav_7_32_6" id="__nav_7_32_6_label" tabindex="0"> Storage </label> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_32_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32_6"> Storage </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../storage_context/" class="md-nav__link"> Storage context </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_32_7" > <div class="md-nav__link md-nav__container"> <a href="../../vector_store/" class="md-nav__link "> Vector Store </a> <label class="md-nav__link " 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href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore" class="md-nav__link"> NeptuneAnalyticsPropertyGraphStore </a> <nav class="md-nav" aria-label="NeptuneAnalyticsPropertyGraphStore"> <ul class="md-nav__list"> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.structured_query" class="md-nav__link"> structured_query </a> </li> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.vector_query" class="md-nav__link"> vector_query </a> </li> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.upsert_nodes" class="md-nav__link"> upsert_nodes </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneDatabaseGraphStore" class="md-nav__link"> NeptuneDatabaseGraphStore </a> <nav class="md-nav" aria-label="NeptuneDatabaseGraphStore"> <ul class="md-nav__list"> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneDatabaseGraphStore.query" class="md-nav__link"> query </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore" class="md-nav__link"> NeptuneDatabasePropertyGraphStore </a> <nav class="md-nav" aria-label="NeptuneDatabasePropertyGraphStore"> <ul class="md-nav__list"> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.structured_query" class="md-nav__link"> structured_query </a> </li> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.vector_query" class="md-nav__link"> vector_query </a> </li> <li class="md-nav__item"> <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.upsert_nodes" class="md-nav__link"> upsert_nodes </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-content" data-md-component="content"> <article class="md-content__inner md-typeset"> <h1>Neptune</h1> <div class="doc doc-object doc-module"> <div class="doc doc-contents first"> <div class="doc doc-children"> <div class="doc doc-object doc-class"> <h2 id="llama_index.graph_stores.neptune.NeptuneAnalyticsGraphStore" class="doc doc-heading"> NeptuneAnalyticsGraphStore <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsGraphStore" class="headerlink" title="Permanent link">#</a></h2> <div class="doc doc-contents "> Bases: <code>NeptuneBaseGraphStore</code> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/analytics.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74</pre></div></td><td class="code"><div><pre><code>class NeptuneAnalyticsGraphStore(NeptuneBaseGraphStore): def __init__( self, graph_identifier: str, client: Any = None, credentials_profile_name: Optional[str] = None, region_name: Optional[str] = None, node_label: str = "Entity", **kwargs: Any, ) -> None: """Create a new Neptune Analytics graph wrapper instance.""" self.node_label = node_label self._client = create_neptune_analytics_client( graph_identifier, client, credentials_profile_name, region_name ) self.graph_identifier = graph_identifier def query(self, query: str, params: dict = {}) -> Dict[str, Any]: """Query Neptune Analytics graph.""" try: logger.debug(f"query() query: {query} parameters: {json.dumps(params)}") resp = self.client.execute_query( graphIdentifier=self.graph_identifier, queryString=query, parameters=params, language="OPEN_CYPHER", ) return json.loads(resp["payload"].read().decode("UTF-8"))["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(params), } ) def _get_summary(self) -> Dict: try: response = self.client.get_graph_summary( graphIdentifier=self.graph_identifier, mode="detailed" ) except Exception as e: raise NeptuneQueryException( { "message": ("Summary API error occurred on Neptune Analytics"), "details": str(e), } ) try: summary = response["graphSummary"] except Exception: raise NeptuneQueryException( { "message": "Summary API did not return a valid response.", "details": response.content.decode(), } ) else: return summary </code></pre></div></td></tr></table></div> </details> <div class="doc doc-children"> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneAnalyticsGraphStore.query" class="doc doc-heading"> query <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsGraphStore.query" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>query(query: str, params: dict = {}) -> Dict[str, Any] </code></pre></div> <div class="doc doc-contents "> Query Neptune Analytics graph. <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/analytics.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49</pre></div></td><td class="code"><div><pre><code>def query(self, query: str, params: dict = {}) -> Dict[str, Any]: """Query Neptune Analytics graph.""" try: logger.debug(f"query() query: {query} parameters: {json.dumps(params)}") resp = self.client.execute_query( graphIdentifier=self.graph_identifier, queryString=query, parameters=params, language="OPEN_CYPHER", ) return json.loads(resp["payload"].read().decode("UTF-8"))["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(params), } ) </code></pre></div></td></tr></table></div> </details> </div> </div> </div> </div> </div> <div class="doc doc-object doc-class"> <h2 id="llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore" class="doc doc-heading"> NeptuneAnalyticsPropertyGraphStore <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore" class="headerlink" title="Permanent link">#</a></h2> <div class="doc doc-contents "> Bases: <code>NeptuneBasePropertyGraph</code> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/analytics_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211</pre></div></td><td class="code"><div><pre><code>class NeptuneAnalyticsPropertyGraphStore(NeptuneBasePropertyGraph): supports_vector_queries: bool = True def __init__( self, graph_identifier: str, client: Any = None, credentials_profile_name: Optional[str] = None, region_name: Optional[str] = None, **kwargs: Any, ) -> None: """Create a new Neptune Analytics graph wrapper instance.""" self._client = create_neptune_analytics_client( graph_identifier, client, credentials_profile_name, region_name ) self.graph_identifier = graph_identifier def structured_query(self, query: str, param_map: Dict[str, Any] = None) -> Any: """Run the structured query. Args: query (str): The query to run param_map (Dict[str, Any] | None, optional): A dictionary of query parameters. Defaults to None. Raises: NeptuneQueryException: An exception from Neptune with details Returns: Any: The results of the query """ param_map = param_map or {} try: logger.debug( f"structured_query() query: {query} parameters: {json.dumps(param_map)}" ) resp = self.client.execute_query( graphIdentifier=self.graph_identifier, queryString=query, parameters=param_map, language="OPEN_CYPHER", ) return json.loads(resp["payload"].read().decode("UTF-8"))["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(param_map), } ) def vector_query(self, query: VectorStoreQuery, **kwargs: Any) -> Tuple[List[Any]]: """Query the graph store with a vector store query. Returns: (nodes, score): The nodes and their associated score """ conditions = None if query.filters: conditions = [ f"e.{filter.key} {filter.operator.value} {filter.value}" for filter in query.filters.filters ] filters = ( f" {query.filters.condition.value} ".join(conditions).replace("==", "=") if conditions is not None else "1 = 1" ) data = self.structured_query( f"""MATCH (e:`{BASE_ENTITY_LABEL}`) WHERE ({filters}) CALL neptune.algo.vectors.get(e) YIELD embedding WHERE embedding IS NOT NULL CALL neptune.algo.vectors.topKByNode(e) YIELD node, score WITH e, score ORDER BY score DESC LIMIT $limit RETURN e.id AS name, [l in labels(e) WHERE l <> '{BASE_ENTITY_LABEL}' | l][0] AS type, e{{.* , embedding: Null, name: Null, id: Null}} AS properties, score""", param_map={ "embedding": query.query_embedding, "dimension": len(query.query_embedding), "limit": query.similarity_top_k, }, ) data = data if data else [] nodes = [] scores = [] for record in data: node = EntityNode( name=record["name"], label=record["type"], properties=remove_empty_values(record["properties"]), ) nodes.append(node) scores.append(record["score"]) return (nodes, scores) def upsert_nodes(self, nodes: List[LabelledNode]) -> None: """Upsert the nodes in the graph. Args: nodes (List[LabelledNode]): The list of nodes to upsert """ # Lists to hold separated types entity_dicts: List[dict] = [] chunk_dicts: List[dict] = [] # Sort by type for item in nodes: if isinstance(item, EntityNode): entity_dicts.append({**item.dict(), "id": item.id}) elif isinstance(item, ChunkNode): chunk_dicts.append({**item.dict(), "id": item.id}) else: # Log that we do not support these types of nodes # Or raise an error? pass if chunk_dicts: for d in chunk_dicts: self.structured_query( """ WITH $data AS row MERGE (c:Chunk {id: row.id}) SET c.text = row.text SET c += removeKeyFromMap(row.properties, '') WITH c, row.embedding as e WHERE e IS NOT NULL CALL neptune.algo.vectors.upsert(c, e) RETURN count(*) """, param_map={"data": d}, ) if entity_dicts: for d in entity_dicts: self.structured_query( f""" WITH $data AS row MERGE (e:`{BASE_NODE_LABEL}` {{id: row.id}}) SET e += removeKeyFromMap(row.properties, '') SET e.name = row.name, e:`{BASE_ENTITY_LABEL}` SET e:`{d['label']}` WITH e, row WHERE removeKeyFromMap(row.properties, '').triplet_source_id IS NOT NULL MERGE (c:Chunk {{id: removeKeyFromMap(row.properties, '').triplet_source_id}}) MERGE (e)<-[:MENTIONS]-(c) WITH e, row.embedding as em CALL neptune.algo.vectors.upsert(e, em) RETURN count(*) as count """, param_map={"data": d}, ) def _get_summary(self) -> Dict: """Get the Summary of the graph topology. Returns: Dict: The graph summary """ try: response = self.client.get_graph_summary( graphIdentifier=self.graph_identifier, mode="detailed" ) except Exception as e: raise NeptuneQueryException( { "message": ("Summary API error occurred on Neptune Analytics"), "details": str(e), } ) try: summary = response["graphSummary"] except Exception: raise NeptuneQueryException( { "message": "Summary API did not return a valid response.", "details": response.content.decode(), } ) else: return summary </code></pre></div></td></tr></table></div> </details> <div class="doc doc-children"> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.structured_query" class="doc doc-heading"> structured_query <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.structured_query" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>structured_query(query: str, param_map: Dict[str, Any] = None) -> Any </code></pre></div> <div class="doc doc-contents "> Run the structured query. Parameters: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> <th>Default</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>query</code> </td> <td> <code>str</code> </td> <td> <div class="doc-md-description"> The query to run </div> </td> <td> required </td> </tr> <tr class="doc-section-item"> <td> <code>param_map</code> </td> <td> <code>Dict[str, Any] | None</code> </td> <td> <div class="doc-md-description"> A dictionary of query parameters. Defaults to None. </div> </td> <td> <code>None</code> </td> </tr> </tbody> </table> Raises: <table> <thead> <tr> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>NeptuneQueryException</code> </td> <td> <div class="doc-md-description"> An exception from Neptune with details </div> </td> </tr> </tbody> </table> Returns: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td><code>Any</code></td> <td> <code>Any</code> </td> <td> <div class="doc-md-description"> The results of the query </div> </td> </tr> </tbody> </table> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/analytics_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71</pre></div></td><td class="code"><div><pre><code>def structured_query(self, query: str, param_map: Dict[str, Any] = None) -> Any: """Run the structured query. Args: query (str): The query to run param_map (Dict[str, Any] | None, optional): A dictionary of query parameters. Defaults to None. Raises: NeptuneQueryException: An exception from Neptune with details Returns: Any: The results of the query """ param_map = param_map or {} try: logger.debug( f"structured_query() query: {query} parameters: {json.dumps(param_map)}" ) resp = self.client.execute_query( graphIdentifier=self.graph_identifier, queryString=query, parameters=param_map, language="OPEN_CYPHER", ) return json.loads(resp["payload"].read().decode("UTF-8"))["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(param_map), } ) </code></pre></div></td></tr></table></div> </details> </div> </div> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.vector_query" class="doc doc-heading"> vector_query <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.vector_query" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>vector_query(query: <a class="autorefs autorefs-internal" title="llama_index.core.vector_stores.types.VectorStoreQuery" href="../../vector_store/#llama_index.core.vector_stores.types.VectorStoreQuery">VectorStoreQuery</a>, **kwargs: Any) -> Tuple[List[Any]] </code></pre></div> <div class="doc doc-contents "> Query the graph store with a vector store query. Returns: <table> <thead> <tr> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>(nodes, score)</code> </td> <td> <div class="doc-md-description"> The nodes and their associated score </div> </td> </tr> </tbody> </table> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/analytics_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124</pre></div></td><td class="code"><div><pre><code>def vector_query(self, query: VectorStoreQuery, **kwargs: Any) -> Tuple[List[Any]]: """Query the graph store with a vector store query. Returns: (nodes, score): The nodes and their associated score """ conditions = None if query.filters: conditions = [ f"e.{filter.key} {filter.operator.value} {filter.value}" for filter in query.filters.filters ] filters = ( f" {query.filters.condition.value} ".join(conditions).replace("==", "=") if conditions is not None else "1 = 1" ) data = self.structured_query( f"""MATCH (e:`{BASE_ENTITY_LABEL}`) WHERE ({filters}) CALL neptune.algo.vectors.get(e) YIELD embedding WHERE embedding IS NOT NULL CALL neptune.algo.vectors.topKByNode(e) YIELD node, score WITH e, score ORDER BY score DESC LIMIT $limit RETURN e.id AS name, [l in labels(e) WHERE l <> '{BASE_ENTITY_LABEL}' | l][0] AS type, e{{.* , embedding: Null, name: Null, id: Null}} AS properties, score""", param_map={ "embedding": query.query_embedding, "dimension": len(query.query_embedding), "limit": query.similarity_top_k, }, ) data = data if data else [] nodes = [] scores = [] for record in data: node = EntityNode( name=record["name"], label=record["type"], properties=remove_empty_values(record["properties"]), ) nodes.append(node) scores.append(record["score"]) return (nodes, scores) </code></pre></div></td></tr></table></div> </details> </div> </div> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.upsert_nodes" class="doc doc-heading"> upsert_nodes <a href="#llama_index.graph_stores.neptune.NeptuneAnalyticsPropertyGraphStore.upsert_nodes" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>upsert_nodes(nodes: List[LabelledNode]) -> None </code></pre></div> <div class="doc doc-contents "> Upsert the nodes in the graph. Parameters: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> <th>Default</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>nodes</code> </td> <td> <code>List[LabelledNode]</code> </td> <td> <div class="doc-md-description"> The list of nodes to upsert </div> </td> <td> required </td> </tr> </tbody> </table> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/analytics_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181</pre></div></td><td class="code"><div><pre><code>def upsert_nodes(self, nodes: List[LabelledNode]) -> None: """Upsert the nodes in the graph. Args: nodes (List[LabelledNode]): The list of nodes to upsert """ # Lists to hold separated types entity_dicts: List[dict] = [] chunk_dicts: List[dict] = [] # Sort by type for item in nodes: if isinstance(item, EntityNode): entity_dicts.append({**item.dict(), "id": item.id}) elif isinstance(item, ChunkNode): chunk_dicts.append({**item.dict(), "id": item.id}) else: # Log that we do not support these types of nodes # Or raise an error? pass if chunk_dicts: for d in chunk_dicts: self.structured_query( """ WITH $data AS row MERGE (c:Chunk {id: row.id}) SET c.text = row.text SET c += removeKeyFromMap(row.properties, '') WITH c, row.embedding as e WHERE e IS NOT NULL CALL neptune.algo.vectors.upsert(c, e) RETURN count(*) """, param_map={"data": d}, ) if entity_dicts: for d in entity_dicts: self.structured_query( f""" WITH $data AS row MERGE (e:`{BASE_NODE_LABEL}` {{id: row.id}}) SET e += removeKeyFromMap(row.properties, '') SET e.name = row.name, e:`{BASE_ENTITY_LABEL}` SET e:`{d['label']}` WITH e, row WHERE removeKeyFromMap(row.properties, '').triplet_source_id IS NOT NULL MERGE (c:Chunk {{id: removeKeyFromMap(row.properties, '').triplet_source_id}}) MERGE (e)<-[:MENTIONS]-(c) WITH e, row.embedding as em CALL neptune.algo.vectors.upsert(e, em) RETURN count(*) as count """, param_map={"data": d}, ) </code></pre></div></td></tr></table></div> </details> </div> </div> </div> </div> </div> <div class="doc doc-object doc-class"> <h2 id="llama_index.graph_stores.neptune.NeptuneDatabaseGraphStore" class="doc doc-heading"> NeptuneDatabaseGraphStore <a href="#llama_index.graph_stores.neptune.NeptuneDatabaseGraphStore" class="headerlink" title="Permanent link">#</a></h2> <div class="doc doc-contents "> Bases: <code>NeptuneBaseGraphStore</code> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/database.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73</pre></div></td><td class="code"><div><pre><code>class NeptuneDatabaseGraphStore(NeptuneBaseGraphStore): def __init__( self, host: str, port: int = 8182, use_https: bool = True, client: Any = None, credentials_profile_name: Optional[str] = None, region_name: Optional[str] = None, sign: bool = True, node_label: str = "Entity", **kwargs: Any, ) -> None: """Create a new Neptune Database graph wrapper instance.""" self.node_label = node_label self._client = create_neptune_database_client( host, port, client, credentials_profile_name, region_name, sign, use_https ) def query(self, query: str, params: dict = {}) -> Dict[str, Any]: """Query Neptune database.""" try: logger.debug(f"query() query: {query} parameters: {json.dumps(params)}") return self.client.execute_open_cypher_query( openCypherQuery=query, parameters=json.dumps(params) )["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(params), } ) def _get_summary(self) -> Dict: try: response = self.client.get_propertygraph_summary() except Exception as e: raise NeptuneQueryException( { "message": ( "Summary API is not available for this instance of Neptune," "ensure the engine version is >=1.2.1.0" ), "details": str(e), } ) try: summary = response["payload"]["graphSummary"] except Exception: raise NeptuneQueryException( { "message": "Summary API did not return a valid response.", "details": response.content.decode(), } ) else: return summary </code></pre></div></td></tr></table></div> </details> <div class="doc doc-children"> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneDatabaseGraphStore.query" class="doc doc-heading"> query <a href="#llama_index.graph_stores.neptune.NeptuneDatabaseGraphStore.query" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>query(query: str, params: dict = {}) -> Dict[str, Any] </code></pre></div> <div class="doc doc-contents "> Query Neptune database. <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/database.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47</pre></div></td><td class="code"><div><pre><code>def query(self, query: str, params: dict = {}) -> Dict[str, Any]: """Query Neptune database.""" try: logger.debug(f"query() query: {query} parameters: {json.dumps(params)}") return self.client.execute_open_cypher_query( openCypherQuery=query, parameters=json.dumps(params) )["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(params), } ) </code></pre></div></td></tr></table></div> </details> </div> </div> </div> </div> </div> <div class="doc doc-object doc-class"> <h2 id="llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore" class="doc doc-heading"> NeptuneDatabasePropertyGraphStore <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore" class="headerlink" title="Permanent link">#</a></h2> <div class="doc doc-contents "> Bases: <code>NeptuneBasePropertyGraph</code> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/database_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174</pre></div></td><td class="code"><div><pre><code>class NeptuneDatabasePropertyGraphStore(NeptuneBasePropertyGraph): supports_vector_queries: bool = False def __init__( self, host: str, port: int = 8182, client: Any = None, credentials_profile_name: Optional[str] = None, region_name: Optional[str] = None, sign: bool = True, use_https: bool = True, **kwargs: Any, ) -> None: """Init. Args: host (str): The host endpoint port (int, optional): The port. Defaults to 8182. client (Any, optional): If provided, this is the client that will be used. Defaults to None. credentials_profile_name (Optional[str], optional): If provided this is the credentials profile that will be used. Defaults to None. region_name (Optional[str], optional): The region to use. Defaults to None. sign (bool, optional): True will SigV4 sign all requests, False will not. Defaults to True. use_https (bool, optional): True to use https, False to use http. Defaults to True. """ self._client = create_neptune_database_client( host, port, client, credentials_profile_name, region_name, sign, use_https ) def structured_query(self, query: str, param_map: Dict[str, Any] = None) -> Any: """Run the structured query. Args: query (str): The query to run param_map (Dict[str, Any] | None, optional): A dictionary of query parameters. Defaults to None. Raises: NeptuneQueryException: An exception from Neptune with details Returns: Any: The results of the query """ param_map = param_map or {} try: logger.debug( f"structured_query() query: {query} parameters: {json.dumps(param_map)}" ) return self.client.execute_open_cypher_query( openCypherQuery=query, parameters=json.dumps(param_map) )["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(param_map), } ) def vector_query(self, query: VectorStoreQuery, **kwargs: Any) -> Tuple[List[Any]]: """NOT SUPPORTED. Args: query (VectorStoreQuery): _description_ Raises: NotImplementedError: _description_ Returns: Tuple[List[LabelledNode] | List[float]]: _description_ """ raise NotImplementedError def upsert_nodes(self, nodes: List[LabelledNode]) -> None: """Upsert the nodes in the graph. Args: nodes (List[LabelledNode]): The list of nodes to upsert """ # Lists to hold separated types entity_dicts: List[dict] = [] chunk_dicts: List[dict] = [] # Sort by type for item in nodes: if isinstance(item, EntityNode): entity_dicts.append({**item.dict(), "id": item.id}) elif isinstance(item, ChunkNode): chunk_dicts.append({**item.dict(), "id": item.id}) else: # Log that we do not support these types of nodes # Or raise an error? pass if chunk_dicts: for d in chunk_dicts: self.structured_query( """ WITH $data AS row MERGE (c:Chunk {id: row.id}) SET c.text = row.text SET c += removeKeyFromMap(row.properties, '') RETURN count(*) """, param_map={"data": d}, ) if entity_dicts: for d in entity_dicts: self.structured_query( f""" WITH $data AS row MERGE (e:`{BASE_NODE_LABEL}` {{id: row.id}}) SET e += removeKeyFromMap(row.properties, '') SET e.name = row.name, e:`{BASE_ENTITY_LABEL}` SET e:`{d['label']}` WITH e, row WHERE removeKeyFromMap(row.properties, '').triplet_source_id IS NOT NULL MERGE (c:Chunk {{id: removeKeyFromMap(row.properties, '').triplet_source_id}}) MERGE (e)<-[:MENTIONS]-(c) RETURN count(*) as count """, param_map={"data": d}, ) def _get_summary(self) -> Dict: """Get the Summary of the graph schema. Returns: Dict: The graph summary """ try: response = self.client.get_propertygraph_summary() except Exception as e: raise NeptuneQueryException( { "message": ( "Summary API is not available for this instance of Neptune," "ensure the engine version is >=1.2.1.0" ), "details": str(e), } ) try: summary = response["payload"]["graphSummary"] except Exception: raise NeptuneQueryException( { "message": "Summary API did not return a valid response.", "details": response.content.decode(), } ) else: return summary </code></pre></div></td></tr></table></div> </details> <div class="doc doc-children"> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.structured_query" class="doc doc-heading"> structured_query <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.structured_query" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>structured_query(query: str, param_map: Dict[str, Any] = None) -> Any </code></pre></div> <div class="doc doc-contents "> Run the structured query. Parameters: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> <th>Default</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>query</code> </td> <td> <code>str</code> </td> <td> <div class="doc-md-description"> The query to run </div> </td> <td> required </td> </tr> <tr class="doc-section-item"> <td> <code>param_map</code> </td> <td> <code>Dict[str, Any] | None</code> </td> <td> <div class="doc-md-description"> A dictionary of query parameters. Defaults to None. </div> </td> <td> <code>None</code> </td> </tr> </tbody> </table> Raises: <table> <thead> <tr> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>NeptuneQueryException</code> </td> <td> <div class="doc-md-description"> An exception from Neptune with details </div> </td> </tr> </tbody> </table> Returns: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td><code>Any</code></td> <td> <code>Any</code> </td> <td> <div class="doc-md-description"> The results of the query </div> </td> </tr> </tbody> </table> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/database_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77</pre></div></td><td class="code"><div><pre><code>def structured_query(self, query: str, param_map: Dict[str, Any] = None) -> Any: """Run the structured query. Args: query (str): The query to run param_map (Dict[str, Any] | None, optional): A dictionary of query parameters. Defaults to None. Raises: NeptuneQueryException: An exception from Neptune with details Returns: Any: The results of the query """ param_map = param_map or {} try: logger.debug( f"structured_query() query: {query} parameters: {json.dumps(param_map)}" ) return self.client.execute_open_cypher_query( openCypherQuery=query, parameters=json.dumps(param_map) )["results"] except Exception as e: raise NeptuneQueryException( { "message": "An error occurred while executing the query.", "details": str(e), "query": query, "parameters": str(param_map), } ) </code></pre></div></td></tr></table></div> </details> </div> </div> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.vector_query" class="doc doc-heading"> vector_query <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.vector_query" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>vector_query(query: <a class="autorefs autorefs-internal" title="llama_index.core.vector_stores.types.VectorStoreQuery" href="../../vector_store/#llama_index.core.vector_stores.types.VectorStoreQuery">VectorStoreQuery</a>, **kwargs: Any) -> Tuple[List[Any]] </code></pre></div> <div class="doc doc-contents "> NOT SUPPORTED. Parameters: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> <th>Default</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>query</code> </td> <td> <code><a class="autorefs autorefs-internal" title="llama_index.core.vector_stores.types.VectorStoreQuery" href="../../vector_store/#llama_index.core.vector_stores.types.VectorStoreQuery">VectorStoreQuery</a></code> </td> <td> <div class="doc-md-description"> description </div> </td> <td> required </td> </tr> </tbody> </table> Raises: <table> <thead> <tr> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>NotImplementedError</code> </td> <td> <div class="doc-md-description"> description </div> </td> </tr> </tbody> </table> Returns: <table> <thead> <tr> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>Tuple[List[Any]]</code> </td> <td> <div class="doc-md-description"> Tuple[List[LabelledNode] | List[float]]: description </div> </td> </tr> </tbody> </table> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/database_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>79 80 81 82 83 84 85 86 87 88 89 90 91</pre></div></td><td class="code"><div><pre><code>def vector_query(self, query: VectorStoreQuery, **kwargs: Any) -> Tuple[List[Any]]: """NOT SUPPORTED. Args: query (VectorStoreQuery): _description_ Raises: NotImplementedError: _description_ Returns: Tuple[List[LabelledNode] | List[float]]: _description_ """ raise NotImplementedError </code></pre></div></td></tr></table></div> </details> </div> </div> <div class="doc doc-object doc-function"> <h3 id="llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.upsert_nodes" class="doc doc-heading"> upsert_nodes <a href="#llama_index.graph_stores.neptune.NeptuneDatabasePropertyGraphStore.upsert_nodes" class="headerlink" title="Permanent link">#</a></h3> <div class="doc-signature highlight"><pre><code>upsert_nodes(nodes: List[LabelledNode]) -> None </code></pre></div> <div class="doc doc-contents "> Upsert the nodes in the graph. Parameters: <table> <thead> <tr> <th>Name</th> <th>Type</th> <th>Description</th> <th>Default</th> </tr> </thead> <tbody> <tr class="doc-section-item"> <td> <code>nodes</code> </td> <td> <code>List[LabelledNode]</code> </td> <td> <div class="doc-md-description"> The list of nodes to upsert </div> </td> <td> required </td> </tr> </tbody> </table> <details class="quote"> <summary>Source code in <code>llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/database_property_graph.py</code></summary> <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143</pre></div></td><td class="code"><div><pre><code>def upsert_nodes(self, nodes: List[LabelledNode]) -> None: """Upsert the nodes in the graph. Args: nodes (List[LabelledNode]): The list of nodes to upsert """ # Lists to hold separated types entity_dicts: List[dict] = [] chunk_dicts: List[dict] = [] # Sort by type for item in nodes: if isinstance(item, EntityNode): entity_dicts.append({**item.dict(), "id": item.id}) elif isinstance(item, ChunkNode): chunk_dicts.append({**item.dict(), "id": item.id}) else: # Log that we do not support these types of nodes # Or raise an error? pass if chunk_dicts: for d in chunk_dicts: self.structured_query( """ WITH $data AS row MERGE (c:Chunk {id: row.id}) SET c.text = row.text SET c += removeKeyFromMap(row.properties, '') RETURN count(*) """, param_map={"data": d}, ) if entity_dicts: for d in entity_dicts: self.structured_query( f""" WITH $data AS row MERGE (e:`{BASE_NODE_LABEL}` {{id: row.id}}) SET e += removeKeyFromMap(row.properties, '') SET e.name = row.name, e:`{BASE_ENTITY_LABEL}` SET e:`{d['label']}` WITH e, row WHERE removeKeyFromMap(row.properties, '').triplet_source_id IS NOT NULL MERGE (c:Chunk {{id: removeKeyFromMap(row.properties, '').triplet_source_id}}) MERGE (e)<-[:MENTIONS]-(c) RETURN count(*) as count """, param_map={"data": d}, ) </code></pre></div></td></tr></table></div> </details> </div> </div> </div> </div> </div> </div> </div> </div> </article> </div> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type="button" class="md-top md-icon" data-md-component="top" hidden> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class="md-footer"> <nav class="md-footer__inner md-grid" aria-label="Footer" > <a href="../neo4j/" class="md-footer__link md-footer__link--prev" aria-label="Previous: Neo4j"> <div class="md-footer__button md-icon"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11z"/></svg> </div> <div class="md-footer__title"> Previous <div class="md-ellipsis"> Neo4j </div> </div> </a> <a href="../simple/" class="md-footer__link md-footer__link--next" aria-label="Next: Simple"> <div class="md-footer__title"> Next <div class="md-ellipsis"> Simple </div> </div> <div class="md-footer__button md-icon"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11z"/></svg> </div> </a> </nav> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <readthedocs-flyout position="bottom-left"></readthedocs-flyout> </div> </div> </footer> <img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=2b5669c2-eb91-4d0a-81d6-dc7238350598" width="1" height="1" /> </div> <div class="md-dialog" data-md-component="dialog"> <div class="md-dialog__inner md-typeset"></div> </div> <script id="__config" type="application/json">{"base": "../../../..", "features": ["navigation.instant", "navigation.tabs", "navigation.indexes", "navigation.top", "navigation.footer", "toc.follow", "content.code.copy", "search.suggest", "search.highlight"], "search": "../../../../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script> <script src="../../../../assets/javascripts/bundle.83f73b43.min.js"></script> <script src="../../../../javascript/runllm.js"></script> <script src="../../../../javascript/algolia.js"></script> </body> </html>

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