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Example scripts to "QA" documentation, of the pattern: Ingest the source (public web documentation or PDFs) and output a local vector-store with Langchain, then expose a chat window for "QA" using Streamlit UI. simplest "RAG" (Retrieval Augmented Generation) queries using a configurable LLM provider

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Langchain-DocTalks

A repo for example scripts that talk to documentation of any kind of the pattern: Ingest the source (typically public web documentation or PDFs) using Langchain, output a local vector-store with Langchain, then expose a chat window for "QA" using Streamlit UI. "RAG" (Retrieval Augmented Generation) queries against your configured LLM provider, see datascience's architecture diagram in the assets folder.

About

Example scripts to "QA" documentation, of the pattern: Ingest the source (public web documentation or PDFs) and output a local vector-store with Langchain, then expose a chat window for "QA" using Streamlit UI. simplest "RAG" (Retrieval Augmented Generation) queries using a configurable LLM provider

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