LlamaIndex is a data framework focused on connecting LLMs to your data, with best-in-class ingestion, indexing and retrieval for RAG applications.
From the README
- Offers data connectors to ingest your existing data sources and data formats (APIs, PDFs, docs, SQL, etc.).
- Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs.
- Provides an advanced retrieval/query interface over your data: Feed in any LLM input prompt, get back retrieved context and knowledge-augmented output.
- Allows easy integrations with your outer application framework (e.g. with LangChain, Flask, Docker, ChatGPT, or anything else).
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeLlamaIndex is the leading document agent and OCR platform
llama_index has 51.9k stars on GitHub. It has been forked 8.1k times. llama_index is written mainly in Python. It has been in active development since 2022. llama_index is available under the MIT license. Its main topics are agents, application, data, fine-tuning.
Read the full guideWhat is llama_index?
LlamaIndex is the leading document agent and OCR platform
Is llama_index open source?
llama_index is an open-source project. It is released under the MIT license.
Is llama_index free?
Yes. llama_index is free and open source — you can use, modify and self-host it.
What license does llama_index use?
llama_index is available under the MIT license.
What language is llama_index written in?
llama_index is written mainly in Python.
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