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RAG Pipeline Development
Retrieval-Augmented Generation lets your team query your documents, contracts, and internal knowledge with natural language — and get accurate, cited answers. No hallucinations, no black boxes.
From $12,000
RAG vs Fine-tuning — which do you need?
RAG is best when your knowledge changes frequently or you need source citations. Fine-tuning is better for style, format, or behavioral changes. We help you choose.
What we build
- Document ingestion & chunking pipeline
- Vector database (Pinecone, Weaviate, pgvector)
- Embedding model selection & tuning
- Retrieval strategy optimization
- Query interface (API or UI)
- Source citation & attribution
- Evaluation & accuracy testing
Common use cases
- Contract and legal document search
- Clinical trial data querying
- Internal policy & procedure search
- Customer support knowledge base
- Research literature review
- Regulatory document compliance
Ready to query your documents?
Book a free call to discuss your document types and query patterns.
Book Free Consultation
Get Started
Ready to move from
experiment to production?
Book a free 30-minute AI audit. We'll identify your top opportunities and tell you exactly what's possible — no pitch, just value.
No commitment. No sales pitch. Just 30 minutes with an engineer.