Hybrid retrieval & agentic RAG — graphs/KG, failure postmortems, freshness patterns
Key Questions
What advances support hybrid retrieval in agentic RAG?
Advances include Verifiable Context Governance for stale-version attacks, DiscoBench, and HOLA hippocampal KV cache for length extrapolation.
How do organizations address knowledge drift in RAG?
Drift is managed via gradual degradation frameworks, Databricks Genie Ontology with authority ranking, and schema-first parsing.
What vulnerabilities affect production RAG pipelines?
Vulnerabilities include retrieval pipeline issues, indirect prompt injection, and data problems stalling 77% of projects per Confluent.
Which tools enable agentic workloads in search?
Tools feature Weaviate hybrid search, OpenSearch at 100k queries/min, and persistent memory layers on Elasticsearch.
What architectures support reliable RAG under load?
Architectures use per-document-class chunking, fallback cascades, and Google Cloud Run sandboxes for headless browsers.
New signals: Verifiable Context Governance paper (stale-version attack, deterministic selection), DiscoBench (clarification-aware search), AgenticSTS (bounded-memory testbed), HOLA hippocampal KV cache (16x length extrapolation). Knowledge drift article (gradual degradation framework). Databricks Genie Ontology with PageRank-inspired authority ranking. FastContext parallel read-only tools. Context Engineering talk on signal-to-noise ratio. RAG on codebases Part 2. Retrieval Pipeline Vulnerabilities & Indirect Prompt Injection. Production RAG Architecture on Amazon Bedrock. Why Production RAG Pipelines Fail Under Enterprise Load. Confluent report: 77% stalled over data problems. Persistent agent memory layer on Elasticsearch (0.89 recall). OpenSearch for agentic workloads (100k queries/min). RAG question parsing (schema-first approach). Weaviate hybrid search demo (BM25+vector, near-object). Google Cloud Run sandboxes for headless browsers. Production RAG architecture guide (per-document-class chunking, fallback cascade).