bragai / bRAG-langchain
Everything you need to know to build your own RAG application
Why this job: says: rag; topics: rag, retrieval-augmented-generation
What it does
This repository contains a comprehensive exploration of Retrieval-Augmented Generation (RAG) for various applications. Each notebook provides a detailed, hands-on guide to setting up and experimenting with RAG from an introductory level to advanced implementations, including multi-querying and custom RAG builds.
Get started
pip install -r requirements.txt- Maintenance
- Active
- Last commit 23 days ago
- Stars
- 4,198
- +3 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 83% closed
- 2 still open
- Pull requests
- 0 merged
- 3 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- agentic-rag
- chatbot
- llm
- machine-learning
- python
- rag
- ai
- retrieval-augmented-generation
Project record
- JobRAG and search
- StatusListed
- Commits63
- Forks506
- Watching40
- Stars in 28 days+17
- CreatedNov 16, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026