RAG
development.
RAG (retrieval-augmented generation) is a technique where an AI system first retrieves relevant passages from your own documents and then uses them to generate an answer, usually with citations. It reduces made-up answers and keeps responses grounded in current, company-specific information.
Retrieval-augmented generation lets AI answer from your own documents instead of guessing. I build RAG systems that ingest your content, retrieve the right passages and answer with citations your users can check.
What I build
Ingestion pipelines
PDFs, docs, web pages and databases parsed, chunked and kept in sync.
Vector and hybrid search
Semantic plus keyword search with re-ranking for precise retrieval.
Cited answers
Responses linked back to the exact source passages.
Access control
Users only retrieve documents they're allowed to see.
Problems I solve
- Chatbots that confidently make things up
- Answers from outdated documents
- Retrieval that misses exact terms like product codes
Technologies I use
- pgvector
- PostgreSQL
- OpenAI embeddings
- Claude
- Gemini
- Python
- FastAPI
- LangChain / LlamaIndex (where useful)
Development process
- 01
Discovery
- 02
Architecture
- 03
Build
- 04
Test
- 05
Deploy
- 06
Iterate
Relevant projects
Technical approach
- →Chunking tuned to your document structure, not a fixed character count.
- →Hybrid search to catch both meaning and exact keywords.
- →Permission filters applied at retrieval time.
- →An evaluation set of real questions to measure answer quality.
Frequently asked questions
Do I need a separate vector database?
Often not — PostgreSQL with pgvector handles most products and keeps your data in one place.
How long does a typical project take?
It depends on scope. A focused feature or fix can take days; a first production version of a product usually takes several weeks. I give a written estimate after a short discovery call.
Do you work with US companies?
Yes. I work remotely with startups and businesses across the United States and internationally, with overlapping working hours for calls and async updates in between.
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Ready to start
your project?
I work remotely with startups and businesses across the United States and internationally. Tell me what you're building and I'll reply with next steps.