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LlamaIndex

Data framework that connects large-language models to private or enterprise data via indexing, retrieval and agent orchestration.

Introduction

Overview

LlamaIndex (formerly GPT-Index) is an open-source toolkit for loading, transforming, indexing, and querying private or enterprise data with LLMs. It abstracts away boilerplate so you can build context-aware agents, chatbots, and RAG pipelines that securely reason over structured or unstructured data at scale.

Key Capabilities
  • 50+ document loaders (files, APIs, databases, cloud storage)
  • Modular indexes: vector, list, tree, keyword, and graph-based
  • Advanced retrievers with hybrid, multi-modal, and SQL semantics
  • Query engines for Q&A, summarization, and document synthesis
  • Agent toolkit for multi-tool, multi-step reasoning over private data
  • LlamaCloud managed parsing & embedding service for production workloads
  • Python and TypeScript SDKs plus integrations with LangChain, Milvus, Weaviate, Qdrant, and more

Information

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