codebase-rag-streamlit

A natural language interface for querying and analyzing codebases using RAG (Retrieval Augmented Generation) technology. Built with Python, Groq LLM, and Pinecone vector store.

code-analysis

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Jupyter Notebook Language

Cost to Build

$500

Market Value

$500

How is this calculated?

Growth over time

1 data points · 2025-08-30 → 2025-08-30

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What is the alewoo/codebase-rag-streamlit GitHub project? Description: "A natural language interface for querying and analyzing codebases using RAG (Retrieval Augmented Generation) technology. Built with Python, Groq LLM, and Pinecone vector store.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone codebase-rag-streamlit

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git clone https://github.com/alewoo/codebase-rag-streamlit.git

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[email protected]:alewoo/codebase-rag-streamlit.git

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Download master.zip

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