RAG & Knowledge
RAG & Knowledge
Most RAG systems are a few good decisions away from being usable. I work with you on the choices that actually move the needle — embedding model, chunk strategy, hybrid retrieval, evals, and a refresh pipeline that doesn't rot.
What you get
- Embedding + chunking strategy chosen against your real corpus
- Hybrid retrieval (vector + keyword + rerank) tuned to your data
- Eval harness with retrieval quality and end-to-end answer scores
- Knowledge refresh pipeline and ingestion tooling
- Cost and latency profile your CFO won't argue with
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