FAQ from LlamaIndex
What is LlamaIndex?
LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs). It offers industry-leading document ingestion, parsing, retrieval, indexing, querying, and evaluation capabilities. Developers can build LLM applications quickly using Python and Typescript.
How to use LlamaIndex?
To use LlamaIndex, developers can load data from 160+ sources, store, index, query, and evaluate the data. Integrate with various services, access community-contributed tools, and engage in a developer network to build innovative LLM applications.
What types of data can be loaded into LlamaIndex?
LlamaIndex supports loading data from 160+ sources and formats, including APIs, PDFs, documents, SQL databases, structured, semi-structured, and unstructured data.
How can developers integrate with the LlamaIndex community?
Developers can join the LlamaIndex developer network to collaborate, share insights, access resources, and stay updated on trends in large language model applications.