LlamaIndex
Top pickThe most complete open RAG framework. Every stage, under your control.
93
sovereigntyLlamaIndex is a data framework for LLM applications covering the entire retrieval path: ingestion from hundreds of source connectors, chunking strategies, embedding, indexing across most vector stores, retrieval, reranking and response synthesis. Every stage is swappable, which is exactly the property a managed platform cannot offer. It is MIT licensed with a very large community, and its documentation of retrieval strategies is a genuine education in why RAG pipelines fail.
OPEN SOURCEMITSELF-HOSTLOCAL-FIRST
LicenseMIT
PricingFree and MIT licensed. A paid managed parsing/ingest service exists separately.
Open sourceYes
Self-hostableYes
Local-first dataYes
What it does well
- +Complete control over chunking, embedding, retrieval and reranking
- +Hundreds of data connectors — the widest ingest surface here
- +Works with any vector store and any model, local or hosted
- +MIT, with an unusually well-documented body of retrieval strategy
Where it falls short
- −A framework, not a product — you assemble and operate it
- −Fast-moving API; pin versions on anything long-lived
- −The number of choices is itself a learning curve
LlamaIndex as an alternative to
Where LlamaIndex shows up in our comparisons, and how it ranked.
LlamaIndex head-to-head
Straight comparisons against the tools people weigh it against.