Specialised · under AI Development
RAG System Development Services
Most RAG demos retrieve well but generate badly. We build production RAG with hybrid retrieval, evaluation harnesses, source citations, hallucination guardrails and cost-aware generation.
What we build
- Document ingestion pipeline (PDFs, web, structured)
- Embeddings + vector store (pgvector, Pinecone, Weaviate, Qdrant)
- Hybrid retrieval (vector + keyword + reranking)
- Citation-grounded generation
- Evaluation harness with golden Q&A pairs
- Hallucination guardrails
- Admin tooling for content updates
- Cost / latency / quality observability
- Per-tenant document isolation (for SaaS RAG)
- Streaming UI with citations
What you receive
- Production RAG system
- Document ingestion pipeline
- Evaluation harness
- Cost / quality dashboards
- Retainer for ongoing tuning
Why custom over off-the-shelf
Most RAGs are mostly retrieval
The retrieval step is what makes or breaks the answer. Pure vector search alone is not enough — hybrid retrieval + reranking typically lifts quality 20-30%.
Evaluator harnesses are mandatory
Without a golden Q&A set and regression evals, you can't tell when prompt or model changes broke things. We build the evaluator first.
Pricing and timeline
What it costs
Quoted in 48 hours
Itemised and fixed against a written scope, after one 30-minute call
Timeline
10 – 14 weeks
From kickoff to production
FAQ
pgvector or a dedicated vector DB?
For most teams, pgvector on a Postgres instance you already operate beats a separate vector DB until scale forces a split. Avoid premature operational complexity.
How do we evaluate RAG quality?
Golden Q&A datasets, retrieval-quality metrics (precision@k, recall@k), generation evaluators (LLM-as-judge with rubric, human eval where stakes are high).
Related specialised services
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LLM application development — OpenAI, Anthropic Claude, Google Gemini and self-hosted models. Production-grade with evaluation harnesses and cost monitoring.
See details →AI Agent Development
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See details →AI Integration — Add AI to Software You Already Run
AI integration for existing products — RAG over your own data, support deflection, document extraction. Scoped against evaluations, not demos.
See details →Ready to scope this?
Fixed-cost proposal and delivery plan within 48 hours of a 30-minute discovery call.
Get a proposal