RAG System Development
Production-grade retrieval systems that actually find the right answer.
What's included
- Hybrid retrieval (BM25 + semantic + Own ML layer)
- Semantic chunking strategy
- Vector DB setup & indexing
- Neural reranking pipeline
- Recency & relevance scoring
- Query intent classification
Who it's for
SaaS companies, media platforms, enterprise knowledge bases, legal/compliance tools.
Typical project scope
Typically 4–10 weeks depending on corpus size and complexity.
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