Llama-Index

LlamaIndex is an open-source Python library designed for building and querying **knowledge indices** over your data. It provides a flexible interface for creating vector-based or structured indices and integrates with large language models (LLMs) to enable semantic search, retrieval, and reasoning across your documents.

Features of LlamaIndex:

• Easy creation of vector or structured indices from documents.
• Supports complex retrieval tasks with LLM integration.
• Provides multiple index types like GPTVectorStoreIndex, GPTListIndex, and more.
• Supports various data sources including text files, PDFs, and web content.
• High flexibility to customize retrieval, ranking, and query behavior.
• Seamless integration with popular LLM frameworks like OpenAI GPT and others.

Disclaimer: LlamaIndex is open-source software released under the MIT License. It is developed independently and is not affiliated with any commercial organization. Users should refer to the official documentation for best practices and updates. Use it at your own discretion and ensure it fits your project requirements.