Knowledge sources and permissions
Documents, owners, update frequency and access rules are defined.
AI SERVICES
Enterprise RAG and Knowledge Base
Enterprise RAG and knowledge-base infrastructure connects approved internal documents to language models through permission-aware ingestion, vector search, retrieval and source citation.
What is Enterprise RAG and Knowledge Base?
A RAG system is not merely uploading files to a chatbot. Document quality, chunking, metadata, permissions, freshness, retrieval evaluation and citation accuracy determine whether it is trustworthy.
We design the ingestion and retrieval pipeline around real user questions and validate that unauthorized or stale content is not exposed.
Service scope
Ingestion pipeline
Parsing, cleaning, chunking, metadata and incremental indexing are implemented.
Retrieval architecture
Embeddings, vector storage, filters, reranking and context assembly are configured.
Security and governance
Identity, source permissions, audit logs and deletion or re-indexing workflows are established.
Evaluation
Representative questions measure retrieval quality, citations, latency and access isolation.
WHO IS IT FOR?
Who is it for?
- Organizations building assistants over internal policies, procedures or technical documents.
- Teams requiring source citations and permission-aware retrieval.
- Companies replacing manual document search with a measurable knowledge workflow.
DELIVERABLES
Deliverables
- Document ingestion and indexing pipeline
- Permission-aware vector search
- Model and platform integration
- Evaluation set and quality results
- Operations, refresh and governance documentation
How we work
01
Define knowledge sources, access rules, freshness requirements and evaluation questions
02
Build the document, embedding, vector-indexing, retrieval and citation pipeline
03
Test retrieval quality, permission isolation, citation accuracy and re-indexing
Frequently asked questions
Does RAG train the model on our documents?
No. RAG retrieves authorized source passages at request time; fine-tuning is a different process.
Can document permissions be preserved?
Yes, when source identity and permission metadata are available, retrieval can filter results by user or group.
Let’s assess your requirements
We review your current environment, target and technical requirements in a 20–30 minute call. Scope, assumptions, deliverables and pricing are documented before work begins.
Request an assessment →