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OpenClaw Skills & Use Case Index

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Skills with input: Vector database

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rag-implementation - Build grounded RAG applications with semantic search
RAG retrieval semantic search vector databases
★ 3 · Updated 2026-10-02
Build Retrieval-Augmented Generation systems that retrieve external knowledge and generate grounded answers for LLM applications.
⚙ Split documents into chunks ⚙ Generate document embeddings ⚙ Store vectors in databases
ai-engineer - Build Production-Ready LLM Applications
llm rag agents ai
★ 11 · Updated 2026-05-09
Build production-ready LLM applications, advanced RAG systems, and intelligent agents
⚙ Build LLM applications ⚙ Implement RAG systems ⚙ Deploy AI agents
Embedding Generator - Generate text embeddings for semantic search
embeddings vectors semantic-search NLP
★ 9 · Updated 2026-03-22
Generate and manage text embeddings for semantic search, clustering, and similarity tasks
⚙ Generate embeddings ⚙ Select embedding model ⚙ Preprocess text