FrameworkPicker

LlamaIndex

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Overview

The bottom line — what this framework is, who it's for, and when to walk away.

Bottom Line Up Front

LlamaIndex is a Python framework designed to connect Large Language Models with your private or domain-specific data. It provides tools for data ingestion, indexing, and querying, enabling the creation of RAG pipelines, autonomous agents, and multi-step LLM workflows. The framework supports both high-level rapid prototyping and low-level customization for complex applications.

Best For

Building LLM-powered agents and context-augmented applications over proprietary data, from prototype to production.

Avoid If

Not building LLM-powered agents or context-augmented applications over private/specific data.

Strengths

  • +Leading framework for building LLM-powered agents over your data with LLMs and workflows.
  • +Provides tools to ingest, parse, index, and process your data from various sources and formats.
  • +Supports building various context-augmented LLM applications like RAG, chatbots, and autonomous agents.
  • +Offers high-level APIs for quick setup and low-level APIs for extensive customization of modules.
  • +Facilitates creation of multi-step, event-driven workflows combining agents and data sources with reflection and error-correction.
  • +Includes managed services (LlamaCloud) for enterprise document parsing, extraction, indexing, and retrieval.

Weaknesses

    Project Health

    Is this project alive, well-maintained, and safe to bet on long-term?

    Stars

    51,053

    Open Issues

    570

    Last Commit

    2d ago

    Commit Frequency

    9x/week

    Bus Factor Score

    9 / 10

    Maintainers

    100

    Latest Version

    v0.14.23

    Total Releases

    100

    Repo Age

    3y 8mo

    Forks

    7,804

    Monthly Downloads

    6.2M

    last 30 days

    Versions Published

    494

    Known Vulnerabilities

    9Highest: Critical

    Dependent Repos

    1.5K

    public repos using this

    Fit

    Does it support the workflows, patterns, and capabilities your team actually needs?

    State Management

    LlamaIndex manages state implicitly through its higher-level abstractions like chat engines, agents, and event-driven workflows, facilitating multi-step and conversational interactions.

    Perspective

    Your expertise shapes what we build next.

    We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful — we want to hear it.

    Last updated: 24 July 2026

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