LlamaIndex
Data framework connecting language models to private documents
LlamaIndex is profiled here as a RAG Framework tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
LlamaIndex is an open-source data framework for connecting language models to private data, started by Jerry Liu in late 2022 as GPT Index. It covers the retrieval pipeline end to end, from loading and parsing through chunking, indexing, and querying, with event-driven agent workflows layered on top. LlamaCloud, the commercial service, adds managed parsing and extraction for complex enterprise documents. Jerry Liu started the project to give a language model access to his personal notes, and the company now serves enterprise document workloads through LlamaCloud.
Key Capabilities:
Document loaders and integrations through the LlamaHub registry
Index and query engine abstractions for RAG pipelines
Event-driven Workflows for multi-step agents
LlamaParse for layout-aware and table-aware document parsing
LlamaExtract for schema-based structured data extraction
Python and TypeScript libraries under MIT licensing
Alternative tools
- GraphRAG
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- RAGFlow
Open-source RAG engine with deep document understanding
- Milvus
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- txtai
All-in-one embeddings database for semantic search and RAG
- R2R
Production retrieval system with ingestion and an API
- Chroma
Developer-first embedding database that runs anywhere