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I will create a RAG system for document search and question answering
About this service
Have a mountain of documents nobody can search through? I build Retrieval-Augmented Generation systems that let users ask natural questions and get accurate, cited answers from your own content.
- Document ingestion: PDFs, Word, web pages, Notion, databases
- Smart chunking and embedding with vector databases (Pinecone, Qdrant, Chroma)
- Retrieval tuning for precision and reduced hallucination
- Source citations so users trust every answer
- API or chat UI delivery with deployment
I've built RAG pipelines processing hundreds of thousands of documents for knowledge bases and internal tools. I obsess over retrieval quality because a RAG system is only as good as what it retrieves.
Share your document set and questions you want answered, and I'll recommend the right architecture. Let's make your knowledge instantly searchable.
About the seller
Ho Chi Minh City-based game developer focused on casual and hyper-casual mobile titles in Unity. I build tight gameplay loops, ad integrations, and store-ready builds that retain players. Comfortable owning a project from prototype to launch. Quick to communicate and serious about quality.
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