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📄️ API chains

APIChain enables using LLMs to interact with APIs to retrieve relevant information. Construct the chain by providing a question relevant to the provided API documentation.

📄️ Retrieval QA

This example showcases question answering over an index.

📄️ Conversational Retrieval QA

Looking for the older, non-LCEL version? Click here.

📄️ Conversational Retrieval QA

Looking for the LCEL version? Click here.

📄️ SQL

This example demonstrates the use of Runnables with questions and more on a SQL database.

📄️ SQL

This example demonstrates the use of the SQLDatabaseChain for answering questions over a SQL database.

📄️ Structured Output with OpenAI functions

Must be used with an OpenAI functions model.

📄️ Summarization

A summarization chain can be used to summarize multiple documents. One way is to input multiple smaller documents, after they have been divided into chunks, and operate over them with a MapReduceDocumentsChain. You can also choose instead for the chain that does summarization to be a StuffDocumentsChain, or a RefineDocumentsChain.

📄️ Retrieval QA

This example showcases question answering over an index.