Data Analytics & Predictive Modeling
LlamaIndex
Context engineering and data framework for LLMs and agentic RAG
Open sourceRuns in the cloudEditors pick
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Open Source
Free
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Web
Hosted app
Category
Data Analytics & Predictive Modeling
53 tools
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Last updated
Nov 2
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Advanced multi-document agentic RAG systems
Perform complex queries across hundreds of financial reports, legal filings, and technical specifications with accurate citations.
Pricing checked Nov 2026
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About LlamaIndex
LlamaIndex is the premier data framework designed to orchestrate context augmentation for large language models. While LLMs excel at reasoning, they lack access to private enterprise data; LlamaIndex bridges this gap through robust ingestion pipelines, chunking algorithms, metadata enrichment, and advanced retrieval engines.
Supporting both Python and TypeScript, LlamaIndex offers data loaders for over 160 data sources (SQL, PDF, Slack, Notion, GitHub, Google Drive). Its query architecture ranges from simple semantic search to multi-document agentic reasoning, knowledge graph indexing, and auto-merging hierarchical retrievers.
- Unrivaled ecosystem of data connectors and retrieval algorithms for complex enterprise data
- Deep support for advanced RAG techniques including reranking, recursive retrieval, and query transformations
- Available in both native Python and TypeScript for full-stack and edge environments
- Extensive API surface area can feel overwhelming for beginners building basic chatbots
- Frequent library updates require keeping package dependencies pinned in production
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