LlamaIndex
Connect LLMs to your data sources with production-grade indexing
LlamaIndex is a data framework that connects large language models to external data sources through intelligent indexing and retrieval. Built for developers building RAG applications at scale.
LlamaIndex provides SDKs for Python and TypeScript to ingest, structure, and retrieve data from various sources—documents, APIs, databases—for use with LLMs. Features include 100+ data connectors, multi-modal indexing, query engines, and observability tools. Differentiator: production-ready with enterprise support and managed hosting options via LlamaCloud.
Pros
- Connect to 100+ data sources with pre-built connectors
- Optimize retrieval quality with advanced indexing strategies
- Monitor and debug RAG pipelines with integrated observability
- Use open-source or managed cloud deployment
Cons
- Steep learning curve for complex indexing strategies
- Managed cloud services add significant costs beyond open-source
- Requires understanding of retrieval patterns for optimal results
Best For
Development teams building production retrieval-augmented generation systems that need flexible data connectivity and observability.
Pricing
Free
- Core features
- Email support
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