About LlamaIndex
A data framework (formerly GPT-Index) for connecting custom data sources to LLMs; it provides index types, data connectors, node management, and retrieval/query interfaces to enable retrieval-augmented workflows.
Key Features
- Multiple index structures (vector, tree, keyword, graph) and adapters
- Data connectors for files, DBs, and APIs to ingest domain data
- Query engines and retrieval interfaces to supply LLM context
- Large ecosystem of integrations and community-maintained plugins
Use Cases & Best For
Developers who need to index and retrieve domain-specific data for LLMs
Teams building RAG systems, knowledge assistants, and document-centered agents
About Agent Frameworks
Build autonomous AI agents and workflows