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Helps users discover and install agent skills based on their queries.
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llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
#rag#data-management#document-processing#llm#vector-database
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Repository
Repositorydavila7/claude-code-templates
Stars22,267
Last UpdatedMar 7, 2026
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