Topics / #llamaindex

Llamaindex projects on GitHub

Framework for connecting language models to external data through retrieval pipelines.

As of , the most-starred Llamaindex projects on GitHub are llama_index (52.5K stars), agents-course (33.7K stars) and phoenix (11.9K stars). GitHub.Locker tracks 7 Llamaindex repositories with 111.7K stars combined. The fastest-growing on October 16 was agents-course, with +35 stars in a day.

7Projects
111.7KStars in total
+92Stars in a day
Browse in the catalog →github.com/topics/llamaindex ↗

Hot right now

Most stars gained in a day · Oct 16

+35

agents-course

huggingface/agents-course · ★ 33.7K

The official Hugging Face Agents Course: a free, hands-on curriculum that teaches how to build AI agents, progressing from the basics to agent frameworks and a certified final project.

+21

llama_index

run-llama/llama_index · ★ 52.5K

LlamaIndex is an open-source Python framework for building agentic applications that augment LLMs with your own private data, letting you ingest, index, and query documents with LLM-powered pipelines.

+14

phoenix

Arize-ai/phoenix · ★ 11.9K

Arize Phoenix is an open-source AI observability platform for tracing, evaluating, and troubleshooting LLM applications, agents, and RAG pipelines.

+11

XRAG

DocAILab/XRAG · ★ 807

XRAG is a benchmarking framework that dissects and evaluates the foundational components of Retrieval-Augmented Generation (RAG) systems, such as retrievers, embeddings, and LLMs, to show how different configurations affect overall RAG performance.

The all-time top

7 projects · by stars

  1. #1 · run-llama/llama_index

    llama_index

    LlamaIndex is an open-source Python framework for building agentic applications that augment LLMs with your own private data, letting you ingest, index, and query documents with LLM-powered pipelines.

    52.5K
  2. #2 · huggingface/agents-course

    agents-course

    The official Hugging Face Agents Course: a free, hands-on curriculum that teaches how to build AI agents, progressing from the basics to agent frameworks and a certified final project.

    33.7K
  3. #3 · Arize-ai/phoenix

    phoenix

    Arize Phoenix is an open-source AI observability platform for tracing, evaluating, and troubleshooting LLM applications, agents, and RAG pipelines.

    11.9K
  1. 4

    lancedb

    11.7Klancedb/lancedb · Rust

    LanceDB is an open-source vector database for multimodal AI: a central platform where you store, index and search petabytes of vectors and multimodal data, built for fast, production-ready retrieval.

  2. 5

    XRAG

    807DocAILab/XRAG · Python

    XRAG is a benchmarking framework that dissects and evaluates the foundational components of Retrieval-Augmented Generation (RAG) systems, such as retrievers, embeddings, and LLMs, to show how different configurations affect overall RAG performance.

  3. 6

    ParseBench

    602run-llama/ParseBench · Python

    ParseBench is a benchmark that measures how well document parsing tools (OCR engines, VLMs, commercial parsing APIs) convert PDFs into structured output that AI agents can reliably act on, rather than just text that looks similar to the original.

  4. 7

    safelabs-eval

    569AgentSafeLabs/safelabs-eval · Python

    safelabs-eval is an open-source red-teaming and evaluation framework for AI agents, built around an OWASP-inspired ASI01-ASI10 taxonomy. It fires 300 curated adversarial prompts at an agent and scores every response with pattern-based detectors to produce a structured security report.

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