RAG & Knowledge Systems
We build intelligent retrieval-augmented generation systems that let your teams search, query, and interact with your entire knowledge base using natural language.
How it works.
Your organization has years of accumulated knowledge locked in documents, wikis, databases, and email threads. RAG systems unlock all of it. We build retrieval-augmented generation pipelines that let anyone in your organization ask questions in natural language and get accurate, source-cited answers, from any document, in any format, at any scale.
What You Get
Ideal For
Step by step.
A proven methodology tailored to this service, designed to minimize risk and maximize impact.
Knowledge Audit
We map your existing knowledge sources, documents, databases, wikis, APIs, and identify what to ingest.
Pipeline Architecture
We design the ingestion, chunking, embedding, and retrieval pipeline optimized for your data types.
Search & Generation
We build the semantic search layer and conversational interface with source attribution and accuracy safeguards.
Integration & Launch
We integrate with your existing tools (Slack, Teams, web portal) and launch with user training and feedback loops.
PDF, DOCX, PPTX, HTML, Markdown, plain text, and structured data from databases and APIs. We can build custom parsers for proprietary formats.
Let's build together.
Tell us about your challenge. We'll respond within 24 hours with a clear path forward.
Get in Touch