LlamaIndex is an open-source data framework that enables the construction of large language model (LLM) applications. It supports various data types and sources, facilitating document ingestion and retrieval. The tool provides robust indexing, querying, and evaluation capabilities for production-ready LLM workflows. Integrated with over 160 data sources and 40 vector stores, it ensures compatibility and versatility. Designed for both enterprises and startups, LlamaIndex allows for seamless integration and community contributions through LlamaHub.
• open source
• comprehensive documentation
• seamless integration with other services
• evaluation modules for llm applications
• python and typescript sdks
• community-contributed tools
• production-ready llm workflows
• integrates with 40+ vector stores
• supports 160+ data sources
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