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LlamaIndex

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Description

Payment Model
Freemium
Starting Price
Free + LlamaCloud from $0/month
Short Description
Data framework for building LLM applications

LlamaIndex (formerly GPT Index) is a data framework for connecting LLMs with external data sources. It specializes in data ingestion, indexing, and querying for building context-augmented LLM applications. Key features include data connectors for 100+ data sources, document parsing and chunking, vector indexing and storage, retrieval strategies for semantic search, query engines for natural language queries, agents for multi-step reasoning, memory management for chat applications, integration with all major LLMs, evaluation tools for RAG systems, and production-ready components. LlamaIndex is widely used for building RAG applications, document Q&A systems, knowledge bases, research assistants, and intelligent search engines that combine LLMs with private or domain-specific data.

Frequently Asked Questions
1. What is LlamaIndex?
LlamaIndex is a data framework for connecting LLMs with external data to build context-aware applications.

2. Is it free?
Yes, LlamaIndex is open-source and free. Managed service LlamaCloud has paid plans from $0/month.

3. How is it different from LangChain?
LlamaIndex specializes in data ingestion and retrieval, while LangChain focuses on agents and chains.

4. What data sources can I connect?
APIs, databases, PDFs, Word docs, Notion, Google Docs, Slack, and 100+ other sources.

5. Do I need a vector database?
Optional. LlamaIndex works with in-memory storage or external vector databases like Pinecone and Weaviate.

Features

Feature 1
Data framework for LLM apps
Feature 2
100+ data connectors
Feature 3
Advanced RAG capabilities

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