Best vector databases skills, page 6

Rebuild the Local Brain Search FAISS index to reflect vault changes

Abilityai/cornelius

Retrieve relevant information from a knowledge base using semantic, keyword, or hybrid search to ground a query.

seb1n/awesome-ai-agent-skills

A skill your agent uses when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.

majiayu000/claude-skill-registry

Hybrid search combining semantic and keyword retrieval for RAG pipelines.

majiayu000/claude-skill-registry

Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search.

majiayu000/claude-skill-registry

Implement semantic vector search for construction data. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

OWASP LLM Top 10 (2025) audit checklist for AI applications, agent tools, RAG pipelines, and prompt construction.

HoangNguyen0403/agent-skills-standard

Master SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries.

aiskillstore/marketplace

Semantic search over critical minerals PDF corpus — rare earth, lithium, cobalt, nickel supply chain, trade policy, extraction, and materials research via Pinecone

lamm-mit/scienceclaw

Expert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…

MicrosoftDocs/Agent-Skills