01
Knowledge-source map
Identify content owners, formats, permissions, freshness expectations and information that must remain excluded.
AI Integration
Enterprise Search & RAG
Enterprise search and retrieval-augmented generation work only when relevant content can be found, access rules are respected and users can understand the evidence behind an answer. Juan Infotech treats content preparation, retrieval quality, citations and evaluation as first-class product concerns.
This service supports internal knowledge, policies, product information, support material and controlled document collections where authorised users need a faster route to relevant, source-backed information.
Capability focus
Enterprise Search & RAG
What the engagement includes
Concrete deliverables, aligned to one outcome.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
02
Retrieval architecture
Design ingestion, segmentation, metadata, indexing, filtering and ranking for the intended questions.
03
Grounded answer experience
Present useful responses with source references, uncertainty handling and clear routes to original material.
04
Retrieval evaluation
Measure representative query coverage, relevance, citation quality and permission behaviour before release.
Working approach
A practical route from context to delivery.
Each phase produces something reviewable before the next commitment is made.
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01
Curate
Select authorised, maintainable sources and representative user questions.
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02
Index
Prepare content and metadata for permission-aware retrieval.
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03
Ground
Connect retrieved evidence to the answer experience.
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04
Evaluate
Test retrieval, answers, citations, access and incomplete evidence.
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05
Maintain
Assign content freshness, feedback and quality-review responsibilities.
Common questions
Useful answers before you start.
Retrieval-augmented generation supplies selected source material to a generative model so the response can be grounded in approved context rather than relying only on general model knowledge.
No. Retrieval and generation can both fail, so evaluation, citations, uncertainty handling and human review remain important.
It can be designed to use supported identity and access information, but the complete permission path must be verified for every source and retrieval route.
Related insights
Useful thinking for the next decision.
Build what matters next
Talk to Juan Infotech