Agent frameworks · ranked 06
LlamaIndex
Also known as GPT Index
A data framework for connecting documents and models.
Best for Retrieval over your own documents
LlamaIndex is an open-source framework for connecting your data to language models: loaders, indexes, and query engines, plus agent helpers. Use it when the hard part is retrieval over your documents. Use an agent framework when the hard part is tool-using control flow.
Best use cases
- Question answering over a document set
- Ingestion pipelines in Python or TypeScript
- Agents that mostly need to look things up
Pros
- + Open source
- + The data and index layer is the focus, and it shows
- + Python and TypeScript libraries exist
Cons
- − Easy to overbuild a vector index for a problem search would solve
- − Hosted LlamaCloud pricing, if you use it: check site
Pricing
The library is open source. LlamaCloud and managed offerings: check site.
Alternatives
Agent frameworks
6.7
LangChain
The original LLM application framework, plus a hosted LangSmith side.
Best for A general LLM app framework with a huge ecosystem
Agent frameworks
8.0
Mastra
TypeScript framework for agents, workflows, and evals.
Best for TypeScript agents you keep in your repo
Agent frameworks
8.5
Vercel AI SDK
TypeScript toolkit for streaming, tool calls, and chat UI.
Best for Streaming AI features in a TypeScript web app