llama_index

LlamaIndex provides a comprehensive toolkit for connecting large language models (LLMs) to external data sources. Its core capabilities include: - Data Ingestion: Data connectors to import information from various formats and sources, including APIs, PDFs, SQL, and documents. - Data Structuring: Tools to organize ingested data into indices and graphs for efficient LLM utilization. - Retrieval and Querying: An advanced interface to retrieve relevant context and generate knowledge-augmented outputs based on user prompts. - Integration Ecosystem: A modular architecture allowing users to choose from over 300 integration packages for LLMs, embedding models, and vector stores via LlamaHub. Additionally, the ecosystem includes LlamaParse, a platform specializing in agentic OCR, document parsing (supporting 130+ formats), structured data extraction, and the deployment of document agents.