---
title: Codebase RAG Assistant
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: docker
app_file: app.py
pinned: false
---

## Codebase RAG Assistant

An AI-powered Retrieval-Augmented Generation (RAG) system that allows developers to query and understand large code repositories using natural language.

### Features
- Code-aware chunking (functions & classes)
- FAISS vector search
- LLaMA-3 inference via Groq
- Streamlit UI
- Fully free deployment using HuggingFace Spaces

### Tech Stack
LangChain, FAISS, Sentence Transformers, FastAPI, Streamlit, Docker

### Use Cases
- Codebase exploration
- Architecture understanding
- Developer onboarding


# CODEBASE-RAG-ASSISTANT
A LangChain-based RAG system that indexes a code repository and answers architecture & code-level questions using free LLMs.


## Codebase RAG Assistant

An AI-powered Retrieval-Augmented Generation system that enables natural language querying of large code repositories.

### Features
- Code-aware chunking (functions & classes)
- FAISS-based vector retrieval
- LLaMA-3 inference via Groq
- Streamlit UI
- Fully free tech stack

### Tech Stack
LangChain, FAISS, HuggingFace Embeddings, FastAPI, Streamlit

### Use Cases
- Codebase understanding
- Architecture exploration
- Developer onboarding