https://github.com/nasrollahnh/question_answering_from_any_url_with_rag
In this project, users can input any URL and ask a question related to its content. Using Retrieval-Augmented Generation (RAG) and LangChain, the app retrieves the most relevant answer from the webpage.
https://github.com/nasrollahnh/question_answering_from_any_url_with_rag
api dotenv embeddings genai generative-ai langchain python retreival-augmented-generation streamlit vectorstore webbased
Last synced: 2 months ago
JSON representation
In this project, users can input any URL and ask a question related to its content. Using Retrieval-Augmented Generation (RAG) and LangChain, the app retrieves the most relevant answer from the webpage.
- Host: GitHub
- URL: https://github.com/nasrollahnh/question_answering_from_any_url_with_rag
- Owner: NASROLLAHnh
- Created: 2025-02-09T04:36:25.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T07:08:52.000Z (8 months ago)
- Last Synced: 2025-03-02T07:19:22.859Z (8 months ago)
- Topics: api, dotenv, embeddings, genai, generative-ai, langchain, python, retreival-augmented-generation, streamlit, vectorstore, webbased
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md