Description
LlamaIndex is a data framework that allows users to connect custom data sources to large language models (LLMs) for building powerful applications. It offers seamless integration with various data formats, data ingestion capabilities, and a query interface for knowledge-augmented responses. Users can store, index, and query data for different use cases, enabling the development of automated decision machines, document Q&A applications, and data augmented chatbots.
What is this for?
LlamaIndex is a data framework designed for connecting custom data sources to large language models (LLMs), enabling users to integrate various types of data with LLM applications.
Who is this for?
LlamaIndex is for enterprises looking to leverage their data for building production-ready LLM applications, as well as developers interested in connecting data sources with LLM frameworks.
Best Features
- Seamless integration with 160+ data sources and formats, including APIs, PDFs, documents, and SQL.
- Data ingestion capabilities for storing and indexing data for different use cases.
- Query interface for knowledge-augmented responses based on user prompts, enabling the creation of powerful end-user applications.