LlamaIndex
A framework for building knowledge assistants with LLMs connected to enterprise data.
About
LlamaIndex is a data framework for building applications powered by large language models (LLMs). It provides the tools to ingest, index, and query your private or domain-specific data, allowing you to build powerful knowledge assistants and RAG (Retrieval-Augmented Generation) applications.
Key Features
Data Connectors
Easily ingest data from a wide variety of sources, including APIs, PDFs, and databases.
Advanced RAG Pipelines
Build sophisticated Retrieval-Augmented Generation systems to query your data.
How to Use LlamaIndex
Use the Python library to build your LLM application. You can ingest your data, create an index, and then build a query engine to interact with your data.
Use Cases
Frequently Asked Questions
Q: Is it a database?
A: No, LlamaIndex is not a database. It is a framework that sits on top of your existing data and makes it accessible to large language models.
Q: Do I need to be an expert in AI to use it?
A: It is a developer-focused framework and requires coding knowledge, but it simplifies many of the complex aspects of building LLM applications.
Q: Is it open source?
A: Yes, LlamaIndex is an open-source project with a large and active community.