Answers your business can trust
Retrieval-augmented systems that search your knowledge, deliver accurate answers, and cite their sources.
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Grounded, cited, and secure
We build RAG pipelines that connect language models to your private knowledge with hybrid search, re-ranking, and citations so every answer is traceable to a source and safe to act on.
Hybrid retrieval
Vector + keyword search tuned to your domain.
Re-ranking
Surface the most relevant context and cut the noise.
Citations
Every answer links back to its source.
Access-aware
Respects your permissions and data boundaries.
How it works
Query → Retrieval → Answer
A question flows through your framework to search your vector store and content, then to the LLM — returning a grounded, cited answer.
Make your knowledge answerable
Point us at your data. We'll build a RAG system that answers accurately and cites every source.