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--- |
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title: Codebase RAG Assistant |
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emoji: 🧠 |
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colorFrom: blue |
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colorTo: purple |
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sdk: docker |
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app_file: app.py |
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pinned: false |
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--- |
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## Codebase RAG Assistant |
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An AI-powered Retrieval-Augmented Generation (RAG) system that allows developers to query and understand large code repositories using natural language. |
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### Features |
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- Code-aware chunking (functions & classes) |
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- FAISS vector search |
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- LLaMA-3 inference via Groq |
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- Streamlit UI |
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- Fully free deployment using HuggingFace Spaces |
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### Tech Stack |
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LangChain, FAISS, Sentence Transformers, FastAPI, Streamlit, Docker |
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### Use Cases |
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- Codebase exploration |
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- Architecture understanding |
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- Developer onboarding |
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# CODEBASE-RAG-ASSISTANT |
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A LangChain-based RAG system that indexes a code repository and answers architecture & code-level questions using free LLMs. |
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## Codebase RAG Assistant |
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|
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|
An AI-powered Retrieval-Augmented Generation system that enables natural language querying of large code repositories. |
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|
|
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|
### Features |
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- Code-aware chunking (functions & classes) |
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|
- FAISS-based vector retrieval |
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- LLaMA-3 inference via Groq |
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- Streamlit UI |
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- Fully free tech stack |
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### Tech Stack |
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LangChain, FAISS, HuggingFace Embeddings, FastAPI, Streamlit |
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### Use Cases |
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- Codebase understanding |
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- Architecture exploration |
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- Developer onboarding |
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