LlamaIndex, Data Framework for LLM Applications
🦙 Meet LlamaIndex: the ultimate data framework for LLM apps! 🚀 Seamless integration with 160+ data sources, 40+ vector stores, and 40+ LLMs. Effortlessly power up your apps with enterprise data! 📊💡 #AI #LLM #DataFramework #Innovation
- LlamaIndex is a leading data framework for LLM applications, enabling the conversion of enterprise data into production-ready applications.
- LlamaIndex supports loading 160+ data sources and formats, including unstructured, semi-structured, and structured data like APIs, PDFs, documents, and SQL databases.
- Users can index their data for various use cases and integrate with 40+ vector store, document store, graph store, and SQL database providers.
- Orchestrate production LLM workflows, evaluate application performance, and measure retrieval and LLM response quality effortlessly with LlamaIndex.
- LlamaIndex offers Python and TypeScript documentation for easy installation and usage.
- LlamaHub, the community platform, provides numerous connectors, tools, and datasets contributed by a vibrant community.
- Seamless integration is available with 40+ vector stores, 40+ large language models, and 160+ data sources for enhanced application versatility.
- Developers can join a thriving network to shape the future of LLM applications, share insights, and stay updated on the latest industry trends.
- The community's impact is evident in the metrics, with 2.8M+ monthly downloads, 15k+ community members, 700+ contributors, and 5k+ applications developed.
- Opportunity awaits to work at LlamaIndex, a fast-growing startup revolutionizing the LLM software stack.