AI/ML Framework for Document Processing
48.9k 2026-04-26
run-llama/llama_index
LlamaIndex is an open-source framework designed to build intelligent agentic applications by connecting Large Language Models (LLMs) with private or custom data sources, focusing on document understanding and OCR.
Core Features
Framework for building LLM-powered agentic applications
Advanced document parsing, extraction, and indexing capabilities
Integrated OCR platform (via LlamaParse) for unstructured data
Enables connecting LLMs with diverse data sources for RAG
Open-source and extensible core
Detailed Introduction
LlamaIndex is a pivotal open-source framework that bridges the gap between Large Language Models (LLMs) and proprietary data. It provides robust tools for ingesting, structuring, and querying various data formats, making them accessible to LLMs. With its focus on document agents and OCR, LlamaIndex empowers developers to build sophisticated applications that can understand, process, and reason over complex document collections, facilitating advanced Retrieval Augmented Generation (RAG) and intelligent automation.