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LlamaIndex

LlamaIndex

framework
Retrieval Frameworks
4.6

描述

Data framework for connecting custom data sources with large language models

详细介绍

LlamaIndex (formerly GPT Index) is a data framework designed to help developers connect custom data to large language models (LLMs). It provides a set of tools and interfaces that simplify the process of ingesting, structuring, and accessing data from various sources, enabling LLMs to effectively utilize this data.

LlamaIndex's core functionality includes data connectors, index structures, query interfaces, and application integration. It supports multiple data sources including text files, PDFs, web pages, APIs, and databases. By providing flexible indexing and retrieval mechanisms, LlamaIndex enables developers to build efficient and accurate RAG applications.

Compared to other frameworks, LlamaIndex particularly focuses on the flexibility of data processing and indexing, providing multiple index types and retrieval strategies to adapt to different application scenarios and requirements. Additionally, it provides advanced features such as query engines, agents, and tool integration, enabling developers to build more complex and intelligent applications.

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Retrieval Frameworks

Popular framework for building LLM applications with rich RAG components

RAG
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Framework
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信息

类型
framework
分类
Retrieval Frameworks
评分
4.6
许可证
MIT
最后更新
2023-12-10

标签

RAG
Data Framework
Indexing
Python
LLM Integration