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From antigravity-awesome-skills
Combines vector similarity and keyword search for improved retrieval in RAG systems and search engines.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:hybrid-search-implementationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Patterns for combining vector similarity and keyword-based search.
Patterns for combining vector similarity and keyword-based search.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-aas-python-api-builderCombines vector similarity and keyword search for improved retrieval recall. Use when building RAG systems, search engines, or handling specific terms pure vector search misses.
Implements hybrid search combining vector and keyword retrieval for RAG systems, search engines, and domain-specific queries requiring high recall.
Provides production RAG patterns for grounded LLM responses including core RAG, embeddings, hybrid search, contextual retrieval, HyDE, agentic/multimodal RAG, query decomposition, reranking, and pgvector.