Hyper-performant search and RAG
We build hyper-performant search and RAG systems that combine lexical and vector retrieval with reranking and caching. We also deliver privacy-preserving RAG with local LLMs deployed on-prem.
What we deliver
- Hybrid retrieval with dense and lexical search
- Reranking, query rewriting, and caching
- On-prem deployments with local LLMs
Architecture approach
We tune your retrieval stack end-to-end, from indexing and query pipelines to reranking, caching, and inference routing.
Stack and tooling
- Groq and Cerebras inference options
- Vector databases and BM25 indexes
- Local LLM deployment on-prem
- Latency and cost optimization
Outcomes
- Faster response times
- Higher factual accuracy and grounded answers
- Data residency and privacy compliance