Agentic Process Automation · Founded by Jerry Liu in 2022

LlamaIndex

Framework for building LLM applications by connecting data sources to language models.

Cost

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

Use LlamaIndex to build applications that connect custom data to large language models (LLMs). It provides data connectors, indexes, retrieval tools, and agents that make it easy for developers to build retrieval-augmented generation (RAG) workflows. LlamaIndex simplifies chunking, embedding, and querying data so you can feed relevant context into LLMs for accurate, cost-effective answers. Ideal for startups and enterprise teams creating custom AI products.

What LlamaIndex does

Ingest data from diverse sources like PDFs, SQL, Notion, and APIsCreate vector indexes for fast retrieval of relevant chunksIntegrate with vector databases for scalable storageEnable retrieval-augmented generation with context-aware promptsChain tools and agents for complex workflowsDeploy cloud-hosted endpoints for production appsData connectors for ingesting structured and unstructured dataAdvanced chunking and embedding managementQuery engine with semantic retrieval capabilitiesIntegrations with leading vector databasesCloud-hosted RAG endpoints for production useBuilt-in support for building AI agents and toolchains