Make Organizational Knowledge Usable by AI
Turn documents, technical references, policies, and internal information into searchable, traceable knowledge systems that support AI-assisted work.
We engineer retrieval and knowledge architectures that connect language models to relevant information while preserving access controls and source traceability.
Core capabilities
From documents to grounded answers
Retrieval-Augmented Generation (RAG)
Retrieve relevant source material and provide it to a language model when generating an answer.
Semantic Search
Find relevant information by meaning and context rather than relying exclusively on exact keyword matches.
Document Intelligence
Extract, classify, structure, and interpret information from documents and other supported formats.
Enterprise Knowledge Retrieval
Connect multiple approved repositories and data sources while respecting access permissions.
Source-Grounded Responses
Provide references to supporting material where available and distinguish retrieved evidence from unsupported assumptions.
Knowledge Evaluation
Explore AI Evaluation & GovernanceTest retrieval relevance, answer correctness, citation quality, coverage, and resistance to misleading or incomplete source material.
Engineering beyond a vector database
A production knowledge system requires more than embedding documents and storing vectors.
It needs:
Appropriate ingestion and parsing.
Metadata and indexing.
Access control.
Retrieval strategies.
Evaluation datasets.
Update mechanisms.
Monitoring.
The architecture should reflect the nature of the information and the decisions it supports.
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Related capabilities
- Enterprise AI InfrastructureAI Evaluation & GovernanceMeasure AI before you depend on it: evaluate output quality, retrieval, tool execution, workflow reliability, security, cost, and latency against real work.
- Enterprise AI InfrastructureAI Tools & IntegrationsConnect AI to CRM, ERP, databases, documents, and operational systems through controlled APIs, Model Context Protocol (MCP), and secure execution boundaries.
Put Your Organization's Knowledge to Work
Tell us where your knowledge lives, who may access it, and which questions it should answer.