AI_ENGINEERING2 Multi-file Components
LlamaIndex Advanced Hybrid RAG & Re-Ranking
Building production RAG systems with near-zero hallucinations by cross-verifying search and dense embeddings.
Author: TRIHEX Architecture Lab
•License: MIT
•Version: 2.1.0
Inert Code Verified · Heuristic Static Security ScannerHeuristic Scanner: LOW Risk
Heuristic static security scanner audited 2 files (2520 bytes). External code. Review before execution.
v2.1.0
Skill Files (2)
Compatible Runtimes
AntigravityClaude CodeCursor
SKILL.md·markdown
# LlamaIndex Advanced Hybrid RAG & Re-Ranking Dense vector retrieval + BM25 keyword search, Cohere re-ranking, metadata filtering, and chunking strategies. ## Core Invariants & Rules 1. Pass retrieved context chunks through a cross-encoder re-ranker before prompting the generator LLM. 2. Verify input validation and security boundaries on all executions. 3. Keep configurations modular, typed, and auditable. ## Operational Workflow 1. Analyze requirements against existing codebase patterns. 2. Apply standardized implementation templates. 3. Execute verification suites before deployment.