✳flâneur — a map of the web's best reading

LlamaIndex 🦙 0.8.48

gpt-index.readthedocs.io · 1,355 words · saved by 1 readers

LlamaIndex (formerly GPT Index) is a data framework for LLM applications to ingest, structure, and access private or domain-specific data. At their core, LLMs offer a natural language interface between humans and inferred data. Widely available models come pre-trained on huge amounts of publicly available data, from Wikipedia and mailing lists to textbooks and source code. Applications built on top of LLMs often require augmenting these models with private or domain-specific data. Unfortunately, that data can be distributed across siloed applications and data stores. It’s behind APIs, in SQL databases, or trapped in PDFs and slide decks. That’s where LlamaIndex comes in. LlamaIndex provides the following tools: Data connectors ingest your existing data from their native source and format. These could be APIs, PDFs, SQL, and (much) more. Data indexes structure your data in intermediate representations that are easy and performant for LLMs to consume. Engines provide natural language acc

Welcome to LlamaIndex 🦙 ! | Developer Documentation Skip to content LlamaIndex Framework Welcome to LlamaIndex 🦙 ! Copy Markdown Open in Claude Open in ChatGPT Open in Cursor Copy Markdown View as Markdown Welcome to LlamaIndex 🦙 ! LlamaIndex is the leading framework for building LLM-powered agents over your data with LLMs and workflows . Introduction What is context augmentation? What are agents and workflows? How does LlamaIndex help build them? Use cases What kind of apps can you build with LlamaIndex? Who should use it? Getting started Get started in Python or TypeScript in just 5 lines

Explore this link on the map →

related reading