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Update chat_vector_db.mdx (#10141)

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typo fix
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Nino Risteski 2023-09-03 07:36:09 +02:00 committed by GitHub
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docs/docs_skeleton/docs/use_cases/question_answering/how_to/chat_vector_db.mdx
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@ -5,7 +5,7 @@ sidebar_position: 2
# Store and reference chat history # Store and reference chat history
The ConversationalRetrievalQA chain builds on RetrievalQAChain to provide a chat history component. The ConversationalRetrievalQA chain builds on RetrievalQAChain to provide a chat history component.
It first combines the chat history (either explicitly passed in or retrieved from the provided memory) and the question into a standalone question, then looks up relevant documents from the retriever, and finally passes those documents and the question to a question answering chain to return a response. It first combines the chat history (either explicitly passed in or retrieved from the provided memory) and the question into a standalone question, then looks up relevant documents from the retriever, and finally passes those documents and the question to a question-answering chain to return a response.
To create one, you will need a retriever. In the below example, we will create one from a vector store, which can be created from embeddings. To create one, you will need a retriever. In the below example, we will create one from a vector store, which can be created from embeddings.