E-commerce · Artificial intelligence
A knowledge base that keeps AI grounded in facts
We organize scattered documents and procedures, configure semantic retrieval, source citations, access rights and recurring updates.
Business use case
For companies with large archives of documents, procedures, catalogs, FAQs and internal expertise.
What is included
✓Source inventory
✓Cleanup and structure
✓Document ingestion
✓Semantic search
✓RAG and source links
✓Roles and permissions
✓Versions and updates
✓Evaluation question set
How we work
- 01
Inventory
We define owners, formats, freshness and access.
- 02
Preparation
We clean, segment and enrich materials with metadata.
- 03
Retrieval
We configure indexing, RAG and source display.
- 04
Evaluation
We test answers, gaps, outdated content and permissions.
What we need from you
→Documents and catalogs
→Knowledge owners
→Access matrix
→Control questions
Practical outcomeThe knowledge base is managed as a product, not a one-time file upload.
Project frameworkRAG reduces but does not remove fabricated answers; sources and evaluation remain essential.
Next step
Tell us about your product and task
We will clarify requirements and risks, then propose the first stage.