Overview
LlamaIndex — Best framework for building knowledge-grounded AI applications.
LlamaIndex is a data framework for connecting LLMs to your data. It specializes in document parsing, indexing, retrieval, and RAG pipelines — making it the go-to for building knowledge-grounded applications.
Document ingestion from 100+ sources
Multiple vector store integrations
Query engines and chat engines
Agents and tool calling
Features & capabilities
Everything it does, in plain English.
FeatureDocument ingestion from 100+ sourcesIncluded
FeatureMultiple vector store integrationsIncluded
FeatureQuery engines and chat enginesIncluded
FeatureAgents and tool callingIncluded
FeatureLlamaParse for complex PDF parsingIncluded
FeatureEvaluation framework for RAG qualityIncluded
API AccessProgrammatic access available for developers.Available
PlatformsPython · TypeScript
The honest take
Where it shines, where it stumbles.
✓ Pros
- ✓Best-in-class document parsing
- ✓LlamaParse handles complex PDFs excellently
- ✓Strong evaluation tools
! Watch-outs
- !Steeper learning curve than LangChain for agents
- !Documentation scattered across versions
Who it's for
Where LlamaIndex pays for itself fast.
— Use case
Build Q&A over enterprise documents
— Use case
Create knowledge graph applications
— Use case
Index and search structured + unstructured data
— Use case
Evaluate and improve RAG pipeline quality
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