AI-Powered RAG Platform for Rapid Semantic Dataset QueriesAI-Powered RAG Platform for Rapid Semantic Dataset Queries
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Caleb Mccombs
• 1d
DM Co-Pilot: AI RAG Platform
I built this end-to-end RAG application to query complex datasets. Using Python and Streamlit, it delivers sub-second semantic search results from PDF uploads.
Technical Stack:
RAG Pipeline: Built with LangChain and OpenAI.
Data Visuals: Interactive graphs via PyVis.
Infrastructure: Deployed on Render for high-concurrency.
StreamlitAI Agent EngineerAI Agent DesignerAI Engineer OpenAIPython
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The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started