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5 publications with this tag.
Lexical plus vector search with result fusion, source-inherited ACL applied at query time, revocation, multi-tenancy, and automated leakage tests.
Structure-aware chunking, embedding versioning, reindexing, reranking, and retrieval evaluation — the technical decisions that determine RAG quality.
Answer quality is a data and permission problem, not a model problem. What changes when the index must respect who can see what.
How to design the event schema, partitioning, retention, and indexing needed to turn prompts, retrieved context, and human edits into a reusable knowledge asset.
Model gateway, orchestration, retrieval, memory, identity, observability, and audit trail: the technical design behind an enterprise AI that isn't locked to a single vendor.
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