I build production-oriented Retrieval-Augmented Generation (RAG) systems that connect LLMs with y...I build production-oriented Retrieval-Augmented Generation (RAG) systems that connect LLMs with y...
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I build production-oriented Retrieval-Augmented Generation (RAG) systems that connect LLMs with your private documents and knowledge bases.
What I can build: • Document ingestion and intelligent chunking • Embeddings and semantic/vector search • ChromaDB / Pinecone / pgvector integration • LLM-powered question answering • Retrieval optimization and relevance improvement • Source-grounded responses to reduce hallucinations • FastAPI backend and API integration • Dockerized, maintainable architecture
Example: Built a Document Q&A system using Gemini + ChromaDB that retrieves relevant document context and generates grounded answers.
Ideal for companies looking to turn internal documents, knowledge bases, PDFs, or technical content into an AI-powered search and Q&A system.
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The network for creativity
Join 1.25M professional creatives like you
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