Inventory
Document catalogue: location, access rights, quality.
IA-03 · Applied AI
RAG internal search
Documents, contracts, manuals, code and internal communications accessible via chat with source citation. No hallucination.
Company knowledge is spread across SharePoint, Drive, Confluence, PDF manuals, old Slack threads and the mind of the employee who has been there 15 years. Retrieving it in time is one of the greatest silent productivity losses.
A well-built RAG — embeddings, vector store, re-ranker, synthesis LLM — turns that knowledge into a conversation. But the difference between a useful RAG and a dangerous one lies in traceability: every answer cites the original source so the user can verify it.
In recent deployments, we achieved 91% answer accuracy with 100% citation traceability, on a corpus of 14,000+ technical documents. New engineer onboarding dropped from 12 weeks to 4.
Document · supplier contract
This agreement establishes a validity period of 24 months, automatically renewable unless terminated by either party with a minimum notice of 60 calendar days.
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RAG response
The contract renews automatically every 24 months, unless notice is given 60 days in advance.
Source · contrato-proveedor.pdf · page 4 · §3The RAG internal search process.
The process · four stagesIndexing
Embeddings + vector store. Corporate auth respected.
Re-ranking and synthesis
Re-ranker + LLM with mandatory citation.
Operation
Monitoring, continuous ingestion, feedback.
What is included
What RAG internal search includes.
The operational detail: what we deliver as part of the engagement and what we keep active afterwards.
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Vector store with auth
Qdrant or Pinecone, respecting permissions.
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Fine-tuned chunking
By document type.
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Re-ranker for precision
Raises accuracy from 70% to 90%+.
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Mandatory source citation
No fabricated hallucinations.
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Continuous ingestion
New documents without an additional project.
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Feedback loop
What fails gets retrained.
Regulatory framework
The regulatory framework.
GDPR if the corpus contains personal data. AI Act if high risk.
EU
RGPD
Applicable to this service
EU
AI Act
Applicable to this service
ISO
42001
Applicable to this service
ENS
when applicable
Applicable to this service
Summum cluster
How it intersects with related services.
RAG is AI, governance and access rights.
Frequently asked questions about RAG internal search.
RAG or fine-tuning?
RAG for specific knowledge. Fine-tuning only if style or jargon justifies it.
Privacy?
Corporate auth respected.
How many documents?
Up to 100k+ in real projects.