LlamaIndex
The open-source data framework for building RAG over your documents.
LlamaIndex is an open-source, data-centric framework (Python, TypeScript): hundreds of connectors (LlamaHub) ingest files, databases and APIs, then indexes (vector, summary, knowledge graph) and query engines organize retrieval and synthesis. LlamaParse extracts tables and layouts from complex PDFs, and event-driven Workflows chain RAG steps, agents and evaluators. It's our choice when answer quality depends first on how well heterogeneous documents are ingested and indexed.
What LlamaIndex brings to your project.
Typical use cases: Enterprise document RAG, Q&A over PDFs and contracts, structured extraction, knowledge bases.
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Hundreds of LlamaHub connectors: files, databases, SaaS tools, APIs.
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Vector, summary and knowledge-graph indexes, composable into query engines.
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LlamaParse: faithful extraction of complex PDFs, tables and layouts.
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Event-driven workflows and agents, with built-in relevance evaluation.
Entrust your project
to our experts.
Entrust your project to our
experts.
Entrust your project
to our experts.
Our experts build your project, delivering superior technical and functional quality within shorter timeframes.
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us.
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A project with LlamaIndex?
Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.
- Reply within 24 hours from a project manager
or engineer.Reply within 24 hours from a project manager or engineer. - Technical scoping and quote, with no fees.
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Describe your project and we'll get back to you with a costed estimate and a roadmap.