RAG & LLM Development
AI that knows your business — RAG systems and custom LLM apps that answer from your data, accurately and with citations.
We build RAG systems and custom LLM applications — AI that answers from your own documents and data, with retrieval, vector search, and guardrails for accuracy. From knowledge-base assistants to document processing, built to be reliable in production, not just a demo.
What We Do
Retrieval-augmented generation
RAG pipelines with chunking, embeddings, and vector search so answers come from your data.
Custom LLM applications
Chatbots, copilots, and document AI tailored to your domain and workflows.
Accuracy & guardrails
Citations, evals, and guardrails to reduce hallucination and keep answers trustworthy.
Knowledge & document AI
Ingest, index, and query large document sets — contracts, manuals, support content.
How We Work
RAG lives or dies on retrieval quality and evaluation, so we engineer the data pipeline and test accuracy continuously — not just wire up an API and hope.
Get the data pipeline right: chunking, embeddings, and retrieval tuned to your content
Ground answers in sources with citations to reduce hallucination
Evaluate continuously against real questions, not vibes
Ship with guardrails, monitoring, and a path to improve over time
Tools & Technology
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B2B SaaS & Subscription BusinessFrequently Asked Questions
Common questions about this service and how we work.
RAG (retrieval-augmented generation) makes an LLM answer from your own data instead of just its training. If you need AI that knows your documents, products, or policies accurately, you need RAG.
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