Local Retrieval-Augmented Generation (RAG) with LangChain & GPT-2 This project demonstrates an end-to-end RAG pipeline using FAISS for vector search and a local GPT-2 model—no external APIs required. A Streamlit app that showcases how to embed, retrieve, and generate answers from a synthetic healthcare dataset.
-
Notifications
You must be signed in to change notification settings - Fork 0
Local Retrieval-Augmented Generation (RAG) with LangChain & GPT-2 This project demonstrates an end-to-end RAG pipeline using FAISS for vector search and a local GPT-2 model—no external APIs required. A Streamlit app that showcases how to embed, retrieve, and generate answers from a synthetic healthcare dataset.
cdtalley/rag-streamlit-langchain
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Local Retrieval-Augmented Generation (RAG) with LangChain & GPT-2 This project demonstrates an end-to-end RAG pipeline using FAISS for vector search and a local GPT-2 model—no external APIs required. A Streamlit app that showcases how to embed, retrieve, and generate answers from a synthetic healthcare dataset.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published