LlamaIndex (GPT Index) is a data framework for your LLM application. LlamaIndex is a "data framework" to help you build LLM apps. It provides the following tools:

• 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, anything else).

LlamaIndex provides tools for both beginner users and advanced users. Our high-level API allows beginner users to use LlamaIndex to ingest and query their data in 5 lines of code. Our lower-level APIs allow advanced users to customize and extend any module (data connectors, indices, retrievers, query engines, reranking modules), to fit their needs.

Full documentation can be found here: https://docs.llamaindex.ai/en/latest/.

Please check it out for the most up-to-date tutorials, how-to guides, references, and other resources!

pip install llama-index

• Gemini - https://colab.research.google.com/drive/1lqOoJ4arhNc7TKJ9F6sFlNM79o-ZmoL6?usp=sharing
• Replicate - https://colab.research.google.com/drive/1ebMm13KqLCt447sXFlJ4xuBTs80VhYfA?usp=sharing
• OpenAI