Data, Memory & Knowledge. RAG
Enterprise RAG That Actually Works at Scale
Retrieval-augmented generation tuned for enterprise accuracy, 95% answer precision, sub-2-second responses, 100+ data source connectors, and every answer cited.
Overview
What is enterprise RAG?
Basic RAG gives LLMs access to documents. Enterprise RAG makes those answers accurate, fast, and trustworthy at scale. It combines advanced retrieval, hybrid search, re-ranking, query expansion, with citation enforcement, source access controls, and continuous freshness so employees and customers always get correct answers grounded in your latest content, not hallucinations.
What's included
Hybrid retrieval
Combine dense vector search with BM25 keyword matching and re-ranking to surface the most relevant chunks for every query.
Citation enforcement
Every answer includes source references with document name, page, and paragraph. Uncited hallucinations are detected and suppressed.
Access-controlled retrieval
Retrieval is user-aware. Documents the querying user doesn't have permission to see are never surfaced in their answers.
100+ connectors
Ingest from Confluence, Notion, Google Drive, SharePoint, Salesforce, Zendesk, GitHub, and 100+ other sources with pre-built connectors.
Query expansion
AI automatically rephrases and expands queries to retrieve relevant content even when the user's phrasing doesn't match the source vocabulary.
Real-time freshness
Ingestion pipelines keep the knowledge base current within minutes of source documents being created or updated.
How it works
From setup to production
Connect
Connect your data sources using pre-built connectors. Documents are ingested, chunked, and embedded automatically.
Index
Chunks are indexed in the vector store with metadata for access control, source tracking, and freshness management.
Retrieve
On each query, hybrid retrieval fetches the most relevant chunks, re-ranks them, and packages them as context for the LLM.
Answer
The LLM generates a cited answer from the retrieved context. Accuracy is continuously monitored against a golden test set.
FAQ
Common questions
Related
More from this service
Enterprise Search
Extend RAG with a unified semantic search experience across all company knowledge.
Knowledge Graph
Enrich RAG retrieval with structured entity relationships for multi-hop reasoning.
Data Pipelines
Keep your RAG knowledge base fresh with automated, always-on data pipelines.
Get started
Deploy enterprise RAG with 95% answer accuracy
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