LlamaIndex
Framework for production retrieval-augmented generation
Overview
LlamaIndex is the leading framework for building RAG applications — document loaders, indexes, query engines, agents. Particularly strong on the data-ingestion side of RAG. Open-source core; LlamaCloud commercial tier for managed ingestion and parsing.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 19 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
LlamaIndex in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
LlamaIndex is a leading open-source data framework for connecting LLMs to private data — ingestion, indexing, retrieval, and increasingly agentic workflows. Alongside LangChain it is one of the two default choices for building RAG and agent applications, with extensive connectors, strong retrieval primitives, and an active ecosystem.
It suits Python (and TypeScript) developers building knowledge-grounded assistants and agents. Caveats: the API surface evolves quickly so code can need maintenance across versions, abstractions can feel heavy for simple use cases, and as a framework it is a building block requiring real engineering rather than a finished product. Documentation and SDKs are comprehensive.
About this listing
This entry was compiled from publicly available data including LlamaIndex's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with LlamaIndex unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to LlamaIndex directly →
Spotted something out of date? Suggest an update →
More in Agents & Automation
