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2024-05-04


LlamaIndex (GPT Index) is a data framework for your LLM application. Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python: Starter: llama-index ( https://pypi.org/project/llama-index/ ).

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What is LlamaIndex? LlamaIndex is an advanced orchestration framework designed to amplify the capabilities of LLMs like GPT-4. While LLMs are inherently powerful, having been trained on vast public datasets, they often lack the means to interact with private or domain-specific data.

In simple terms, LlamaIndex is a handy tool that acts as a bridge between your custom data and large language models (LLMs) like GPT-4 which are powerful models capable of understanding human-like text.

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Introducing create-llama. Want to use the power of LlamaIndex to load, index and chat with your data using LLMs like GPT-4? It just got a lot easier! We've created a simple to use command-line tool that will generate a full-stack app just for you — just bring your own data! To get started, run: npx create-llama.

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LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. PyPI: LlamaIndex: https://pypi.org/project/llama-index/. GPT Index (duplicate): https://pypi.org/project/gpt-index/. Documentation: https://gpt-index.readthedocs.io/. Twitter: https://twitter.com/llama_index.

A brief introduction to LlamaIndex. LlamaIndex (also known as GPT Index) is a user-friendly interface that connects your external data to Large Language Models (LLMs). It offers a range of tools to streamline the process, including data connectors that can integrate with various existing data sources and formats such as APIs, PDFs, docs, and SQL.

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