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async environments</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/callbacks_attach/">How to attach callbacks to a runnable</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/callbacks_constructor/">How to propagate callbacks constructor</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/callbacks_custom_events/">How to dispatch custom callback events</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/callbacks_runtime/">How to pass callbacks in at runtime</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/character_text_splitter/">How to split by character</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/chat_model_caching/">How to cache chat model responses</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/chat_model_rate_limiting/">How to handle rate limits</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/chat_models_universal_init/">How to init any model in one line</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/chat_token_usage_tracking/">How to track token usage in 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tabindex="0" href="/docs/how_to/custom_callbacks/">How to create custom callback handlers</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/custom_chat_model/">How to create a custom chat model class</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/custom_embeddings/">Custom Embeddings</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/custom_llm/">How to create a custom LLM class</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/custom_retriever/">Custom Retriever</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/custom_tools/">How to create tools</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/debugging/">How to debug your LLM apps</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_csv/">How to load CSVs</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_directory/">How to load documents from a directory</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_html/">How to load HTML</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_json/">How to load JSON</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_markdown/">How to load Markdown</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_office_file/">How to load Microsoft Office files</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_pdf/">How to load PDFs</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/document_loader_web/">How to load web pages</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/dynamic_chain/">How to create a dynamic (self-constructing) chain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/embed_text/">Text embedding models</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/ensemble_retriever/">How to combine results from multiple retrievers</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/example_selectors_langsmith/">How to select examples from a LangSmith dataset</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/example_selectors_length_based/">How to select examples by length</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/example_selectors_mmr/">How to select examples by maximal marginal relevance (MMR)</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/example_selectors_ngram/">How to select examples by n-gram overlap</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/example_selectors_similarity/">How to select examples by similarity</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/extraction_examples/">How to use reference examples when doing extraction</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/extraction_long_text/">How to handle long text when doing extraction</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/extraction_parse/">How to use prompting alone (no tool calling) to do extraction</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/fallbacks/">How to add fallbacks to a runnable</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/filter_messages/">How to filter messages</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/hybrid/">Hybrid Search</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/indexing/">How to use the LangChain indexing API</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/inspect/">How to inspect runnables</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/lcel_cheatsheet/">LangChain Expression Language Cheatsheet</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/llm_caching/">How to cache LLM responses</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/llm_token_usage_tracking/">How to track token usage for LLMs</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/local_llms/">Run models locally</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/logprobs/">How to get log probabilities</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/long_context_reorder/">How to reorder retrieved results to mitigate the "lost in the middle" effect</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/markdown_header_metadata_splitter/">How to split Markdown by Headers</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/merge_message_runs/">How to merge consecutive messages of the same type</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/message_history/">How to add message history</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/migrate_agent/">How to migrate from legacy LangChain agents to LangGraph</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/multi_vector/">How to retrieve using multiple vectors per document</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/multimodal_inputs/">How to pass multimodal data directly to models</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/multimodal_prompts/">How to use multimodal prompts</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_custom/">How to create a custom Output Parser</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_fixing/">How to use the output-fixing parser</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_json/">How to parse JSON output</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_retry/">How to retry when a parsing error occurs</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_string/">How to parse text from message objects</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_xml/">How to parse XML output</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/output_parser_yaml/">How to parse YAML output</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/parent_document_retriever/">How to use the Parent Document Retriever</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/pydantic_compatibility/">How to use LangChain with different Pydantic versions</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/qa_chat_history_how_to/">How to add chat history</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/qa_citations/">How to get a RAG application to add citations</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a 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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/response_metadata/">Response metadata</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/runnable_runtime_secrets/">How to pass runtime secrets to runnables</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/self_query/">How to do "self-querying" retrieval</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/semantic-chunker/">How to split text based on semantic similarity</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" 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responses from an LLM</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/time_weighted_vectorstore/">How to use a time-weighted vector store retriever</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/tool_artifacts/">How to return artifacts from a tool</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/tool_calling/">How to use chat models to call tools</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/how_to/tool_calling_parallel/">How to disable parallel tool calling</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 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href="/docs/versions/migrating_chains/">Migrating from v0.0 chains</a></div><ul style="display:block;overflow:visible;height:auto" class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/">How to migrate from v0.0 chains</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/constitutional_chain/">Migrating from ConstitutionalChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/conversation_chain/">Migrating from ConversationalChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/conversation_retrieval_chain/">Migrating from ConversationalRetrievalChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/llm_chain/">Migrating from LLMChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/llm_math_chain/">Migrating from LLMMathChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/llm_router_chain/">Migrating from LLMRouterChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/map_reduce_chain/">Migrating from MapReduceDocumentsChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/docs/versions/migrating_chains/map_rerank_docs_chain/">Migrating from MapRerankDocumentsChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/multi_prompt_chain/">Migrating from MultiPromptChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/refine_docs_chain/">Migrating from RefineDocumentsChain</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/retrieval_qa/">Migrating from RetrievalQA</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_chains/stuff_docs_chain/">Migrating from StuffDocumentsChain</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-2 menu__list-item"><div class="menu__list-item-collapsible"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_memory/">Upgrading to LangGraph memory</a></div><ul style="display:block;overflow:visible;height:auto" class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_memory/">How to migrate to LangGraph memory</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_memory/chat_history/">How to use BaseChatMessageHistory with LangGraph</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_memory/conversation_buffer_memory/">Migrating off ConversationBufferMemory or ConversationStringBufferMemory</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_memory/conversation_buffer_window_memory/">Migrating off ConversationBufferWindowMemory or ConversationTokenBufferMemory</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item hidden"><a class="menu__link" tabindex="0" href="/docs/versions/migrating_memory/conversation_summary_memory/">Migrating off ConversationSummaryMemory or ConversationSummaryBufferMemory</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 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href="https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/versions/migrating_chains/map_rerank_docs_chain.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a><a href="https://github.com/langchain-ai/langchain/blob/master/docs/docs/versions/migrating_chains/map_rerank_docs_chain.ipynb" target="_blank"><img src="https://img.shields.io/badge/Open%20on%20GitHub-grey?logo=github&logoColor=white" alt="Open on GitHub"></a></div><div class="theme-doc-markdown markdown"><header><h1>Migrating from MapRerankDocumentsChain</h1></header> <a href="https://python.langchain.com/api_reference/langchain/chains/langchain.chains.combine_documents.map_rerank.MapRerankDocumentsChain.html" target="_blank" rel="noopener noreferrer">MapRerankDocumentsChain</a> implements a strategy for analyzing long texts. The strategy is as follows: <ul> <li>Split a text into smaller documents;</li> <li>Map a process to the set of documents, where the process includes generating a score;</li> <li>Rank the results by score and return the maximum.</li> </ul> A common process in this scenario is question-answering using pieces of context from a document. Forcing the model to generate score along with its answer helps to select for answers generated only by relevant context. An <a href="https://langchain-ai.github.io/langgraph/" target="_blank" rel="noopener noreferrer">LangGraph</a> implementation allows for the incorporation of <a href="/docs/concepts/tool_calling/">tool calling</a> and other features for this problem. Below we will go through both <code>MapRerankDocumentsChain</code> and a corresponding LangGraph implementation on a simple example for illustrative purposes. <h2 class="anchor anchorWithStickyNavbar_LWe7" id="example">Example<a href="#example" class="hash-link" aria-label="Direct link to Example" title="Direct link to Example"></a></h2> Let's go through an example where we analyze a set of documents. Let's use the following 3 documents: <div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">from langchain_core.documents import Document documents = [ Document(page_content="Alice has blue eyes", metadata={"title": "book_chapter_2"}), Document(page_content="Bob has brown eyes", metadata={"title": "book_chapter_1"}), Document( page_content="Charlie has green eyes", metadata={"title": "book_chapter_3"} ), ] </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div style="padding-top:1.3rem;background:var(--prism-background-color);color:var(--prism-color);margin-top:calc(-1 * var(--ifm-leading) - 5px);margin-bottom:var(--ifm-leading);box-shadow:var(--ifm-global-shadow-lw);border-bottom-left-radius:var(--ifm-code-border-radius);border-bottom-right-radius:var(--ifm-code-border-radius)">API Reference:<a href="https://python.langchain.com/api_reference/core/documents/langchain_core.documents.base.Document.html">Document</a></div> <h3 class="anchor anchorWithStickyNavbar_LWe7" id="legacy">Legacy<a href="#legacy" class="hash-link" aria-label="Direct link to Legacy" title="Direct link to Legacy"></a></h3> <details open="" class="details_lb9f alert alert--info details_b_Ee" data-collapsed="false"><summary>Details</summary><div><div class="collapsibleContent_i85q">Below we show an implementation with <code>MapRerankDocumentsChain</code>. We define the prompt template for a question-answering task and instantiate a <a href="https://python.langchain.com/api_reference/langchain/chains/langchain.chains.llm.LLMChain.html" target="_blank" rel="noopener noreferrer">LLMChain</a> object for this purpose. We define how documents are formatted into the prompt and ensure consistency among the keys in the various prompts.<div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">from langchain.chains import LLMChain, MapRerankDocumentsChain from langchain.output_parsers.regex import RegexParser from langchain_core.prompts import PromptTemplate from langchain_openai import OpenAI document_variable_name = "context" llm = OpenAI() # The prompt here should take as an input variable the # `document_variable_name` # The actual prompt will need to be a lot more complex, this is just # an example. prompt_template = ( "What color are Bob's eyes? " "Output both your answer and a score (1-10) of how confident " "you are in the format: <Answer>\nScore: <Score>.\n\n" "Provide no other commentary.\n\n" "Context: {context}" ) output_parser = RegexParser( regex=r"(.*?)\nScore: (.*)", output_keys=["answer", "score"], ) prompt = PromptTemplate( template=prompt_template, input_variables=["context"], output_parser=output_parser, ) llm_chain = LLMChain(llm=llm, prompt=prompt) chain = MapRerankDocumentsChain( llm_chain=llm_chain, document_variable_name=document_variable_name, rank_key="score", answer_key="answer", ) </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div style="padding-top:1.3rem;background:var(--prism-background-color);color:var(--prism-color);margin-top:calc(-1 * var(--ifm-leading) - 5px);margin-bottom:var(--ifm-leading);box-shadow:var(--ifm-global-shadow-lw);border-bottom-left-radius:var(--ifm-code-border-radius);border-bottom-right-radius:var(--ifm-code-border-radius)">API Reference:<a href="https://python.langchain.com/api_reference/langchain/chains/langchain.chains.llm.LLMChain.html">LLMChain</a> | <a href="https://python.langchain.com/api_reference/langchain/chains/langchain.chains.combine_documents.map_rerank.MapRerankDocumentsChain.html">MapRerankDocumentsChain</a> | <a href="https://python.langchain.com/api_reference/langchain/output_parsers/langchain.output_parsers.regex.RegexParser.html">RegexParser</a> | <a href="https://python.langchain.com/api_reference/core/prompts/langchain_core.prompts.prompt.PromptTemplate.html">PromptTemplate</a> | <a href="https://python.langchain.com/api_reference/openai/llms/langchain_openai.llms.base.OpenAI.html">OpenAI</a></div><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">response = chain.invoke(documents) response["output_text"] </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div class="language-output codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-output codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">/langchain/libs/langchain/langchain/chains/llm.py:369: UserWarning: The apply_and_parse method is deprecated, instead pass an output parser directly to LLMChain. warnings.warn( </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div class="language-output codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-output codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">'Brown' </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div>Inspecting the <a href="https://smith.langchain.com/public/7a071bd1-0283-4b90-898c-6e4a2b5a0593/r" target="_blank" rel="noopener noreferrer">LangSmith trace</a> for the above run, we can see three LLM calls-- one for each document-- and that the scoring mechanism mitigated against hallucinations.</div></div></details> <h3 class="anchor anchorWithStickyNavbar_LWe7" id="langgraph">LangGraph<a href="#langgraph" class="hash-link" aria-label="Direct link to LangGraph" title="Direct link to LangGraph"></a></h3> <details open="" class="details_lb9f alert alert--info details_b_Ee" data-collapsed="false"><summary>Details</summary><div><div class="collapsibleContent_i85q">Below we show a LangGraph implementation of this process. Note that our template is simplified, as we delegate the formatting instructions to the chat model's tool-calling features via the <a href="/docs/how_to/structured_output/">.with_structured_output</a> method.Here we follow a basic <a href="https://langchain-ai.github.io/langgraph/how-tos/map-reduce/" target="_blank" rel="noopener noreferrer">map-reduce</a> workflow to execute the LLM calls in parallel.We will need to install <code>langgraph</code>:<div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">pip install -qU langgraph </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">import operator from typing import Annotated, List, TypedDict from langchain_core.prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI from langgraph.constants import Send from langgraph.graph import END, START, StateGraph class AnswerWithScore(TypedDict): answer: str score: Annotated[int, ..., "Score from 1-10."] llm = ChatOpenAI(model="gpt-4o-mini", temperature=0) prompt_template = "What color are Bob's eyes?\n\n" "Context: {context}" prompt = ChatPromptTemplate.from_template(prompt_template) # The below chain formats context from a document into a prompt, then # generates a response structured according to the AnswerWithScore schema. map_chain = prompt | llm.with_structured_output(AnswerWithScore) # Below we define the components that will make up the graph # This will be the overall state of the graph. # It will contain the input document contents, corresponding # answers with scores, and a final answer. class State(TypedDict): contents: List[str] answers_with_scores: Annotated[list, operator.add] answer: str # This will be the state of the node that we will "map" all # documents to in order to generate answers with scores class MapState(TypedDict): content: str # Here we define the logic to map out over the documents # We will use this an edge in the graph def map_analyses(state: State): # We will return a list of `Send` objects # Each `Send` object consists of the name of a node in the graph # as well as the state to send to that node return [ Send("generate_analysis", {"content": content}) for content in state["contents"] ] # Here we generate an answer with score, given a document async def generate_analysis(state: MapState): response = await map_chain.ainvoke(state["content"]) return {"answers_with_scores": [response]} # Here we will select the top answer def pick_top_ranked(state: State): ranked_answers = sorted( state["answers_with_scores"], key=lambda x: -int(x["score"]) ) return {"answer": ranked_answers[0]} # Construct the graph: here we put everything together to construct our graph graph = StateGraph(State) graph.add_node("generate_analysis", generate_analysis) graph.add_node("pick_top_ranked", pick_top_ranked) graph.add_conditional_edges(START, map_analyses, ["generate_analysis"]) graph.add_edge("generate_analysis", "pick_top_ranked") graph.add_edge("pick_top_ranked", END) app = graph.compile() </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div style="padding-top:1.3rem;background:var(--prism-background-color);color:var(--prism-color);margin-top:calc(-1 * var(--ifm-leading) - 5px);margin-bottom:var(--ifm-leading);box-shadow:var(--ifm-global-shadow-lw);border-bottom-left-radius:var(--ifm-code-border-radius);border-bottom-right-radius:var(--ifm-code-border-radius)">API Reference:<a href="https://python.langchain.com/api_reference/core/prompts/langchain_core.prompts.chat.ChatPromptTemplate.html">ChatPromptTemplate</a> | <a href="https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html">ChatOpenAI</a> | <a href="https://langchain-ai.github.io/langgraph/reference/types/#langgraph.types.Send">Send</a> | <a href="https://langchain-ai.github.io/langgraph/reference/graphs/#langgraph.graph.state.StateGraph">StateGraph</a></div><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">from IPython.display import Image Image(app.get_graph().draw_mermaid_png()) </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><img decoding="async" loading="lazy" 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alt="" class="img_ev3q"><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">result = await app.ainvoke({"contents": [doc.page_content for doc in documents]}) result["answer"] </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div><div class="language-output codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#000000;--prism-background-color:#F5F5F5"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-output codeBlock_bY9V thin-scrollbar" style="color:#000000;background-color:#F5F5F5"><code class="codeBlockLines_e6Vv">{'answer': 'Bob has brown eyes.', 'score': 10} </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div>Inspecting the <a href="https://smith.langchain.com/public/b64bf9aa-7558-4c1b-be5c-ba8924069039/r" target="_blank" rel="noopener noreferrer">LangSmith trace</a> for the above run, we can see three LLM calls as before. Using the model's tool-calling features have also enabled us to remove the parsing step.</div></div></details> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="next-steps">Next steps<a href="#next-steps" class="hash-link" aria-label="Direct link to Next steps" title="Direct link to Next steps"></a></h2> See these <a href="/docs/how_to/#qa-with-rag">how-to guides</a> for more on question-answering tasks with RAG. Check out the <a href="https://langchain-ai.github.io/langgraph/" target="_blank" rel="noopener noreferrer">LangGraph documentation</a> for detail on building with LangGraph, including <a href="https://langchain-ai.github.io/langgraph/how-tos/map-reduce/" target="_blank" rel="noopener noreferrer">this guide</a> on the details of map-reduce in LangGraph.</div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="row margin-top--sm theme-doc-footer-edit-meta-row"><div class="col"><a href="https://github.com/langchain-ai/langchain/edit/master/docs/docs/versions/migrating_chains/map_rerank_docs_chain.ipynb" target="_blank" rel="noopener noreferrer" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_Z9Sw" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div><div 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