llama-index
An open-source framework for building LLM-powered applications with data ingestion, indexing, and retrieval capabilities.
What is llama-index?
LlamaIndex is an open-source data framework that helps developers build applications powered by large language models (LLMs). It solves the problem of augmenting LLMs with private or specialized data by providing tools for data ingestion, indexing, and retrieval, enabling the creation of knowledge-augmented AI applications.
Developers and engineers building LLM-powered applications who need to integrate private data sources, such as documents, databases, or APIs, into their AI workflows.
Developers choose LlamaIndex for its comprehensive toolkit that simplifies connecting LLMs to data, its flexibility through both high-level and low-level APIs, and its extensive ecosystem of over 300 integrations for various LLMs, embeddings, and vector stores.
Overview
LlamaIndex is the leading document agent and OCR platform
Use Cases
Best For
- Building retrieval-augmented generation (RAG) applications
- Creating document question-answering systems
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