https://github.com/mark-rosss/retriever_in_rag
This project is a PDF Question Answering App that enables users to upload any PDF and ask questions about its content. Using a retriever-augmented generation (RAG) approach, it efficiently retrieves relevant information and generates human-like answers, powered by Streamlit and Google Generative AI.
https://github.com/mark-rosss/retriever_in_rag
api chatbot faiss faiss-vector-database google-generative-ai huggingface-embeddings langchain large-language-models llama-index pypdf2 python retreival-augmented-generation retrieval-augmented-generation vectorsto
Last synced: 3 months ago
JSON representation
This project is a PDF Question Answering App that enables users to upload any PDF and ask questions about its content. Using a retriever-augmented generation (RAG) approach, it efficiently retrieves relevant information and generates human-like answers, powered by Streamlit and Google Generative AI.
- Host: GitHub
- URL: https://github.com/mark-rosss/retriever_in_rag
- Owner: Mark-Rosss
- Created: 2025-02-09T03:58:25.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T07:08:50.000Z (4 months ago)
- Last Synced: 2025-03-02T07:19:22.274Z (4 months ago)
- Topics: api, chatbot, faiss, faiss-vector-database, google-generative-ai, huggingface-embeddings, langchain, large-language-models, llama-index, pypdf2, python, retreival-augmented-generation, retrieval-augmented-generation, vectorsto
- Size: 1.95 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md