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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

The ConversationalRetrievalQA chain builds on RetrievalQAChain to provide a chat history component.

📄️ Using OpenAI functions

This walkthrough demonstrates how to incorporate OpenAI function-calling API's in a chain. We'll go over:

📄️ SQL

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

📄️ 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.