Llamaindex
원문: 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 pipeli
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LlamaIndex Data Framework for LLM Applications The leading framework for connecting LLMs with your data. When to use LlamaIndex Use LlamaIndex when: Building RAG (retrieval augmented generation) applications Need document question answering over private data Ingesting data from multiple sources (300+ connectors) Creating knowledge bases for LLMs Building chatbots with enterprise data Need structured data extraction from documents Metrics : 45,100+ GitHub stars 23,000+ repositories use LlamaIndex 300+ data connectors (LlamaHub) 1,715+ contributors v0.14.7 (stable) Use alternatives instead : LangChain : More general purpose, better for agents Haystack : Production search pipelines txtai : Ligh…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.