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Avero AI
RAG and Knowledge Systems
Retrieval-augmented generation grounded in your documents, policies, and operational knowledge.
How to engage
This is how you work with Avero on AI delivery, mapped to a clear commercial scope.
Avero AIAbout this service
Problem
Problem
Knowledge is scattered across wikis and tickets, so answers are inconsistent and audits are painful.
Engineering scope
- Corpus inventory and access mapping
- Chunking, embedding, and retrieval strategies
- Citation and source-traceability UX
- Freshness pipelines for document updates
- Permission-aware retrieval filters
Technology
- Embeddings
- pgvector
- Elasticsearch
- Python
- Object storage
Next step
Want to discuss this service?
Send a message. General questions and project ideas are both welcome. We reply with a clear next step.