Source: https://seerepo.com/compare/datawhalechina/all-in-rag/vs/run-llama/llama_index
Markdown source: https://seerepo.com/compare/datawhalechina/all-in-rag/vs/run-llama/llama_index.md
Description: all-in-rag and llama_index share 23 technologies: chromadb, pyarrow, pymilvus, Neo4j, datasets, llama-index-embeddings-openai, llama-index-llms-openai, OpenAI, tavily-python, tiktoken, tokenizers, torch, LangChain, transformers, llama-index-core, llama-index-embeddings-huggingface, scikit-learn, sentence-transformers, einops, pypdf, pillow, unstructured, and Pydantic. Both are written in Python.

# all-in-rag vs llama_index

all-in-rag and llama_index share 23 technologies: chromadb, pyarrow, pymilvus, Neo4j, datasets, llama-index-embeddings-openai, llama-index-llms-openai, OpenAI, tavily-python, tiktoken, tokenizers, torch, LangChain, transformers, llama-index-core, llama-index-embeddings-huggingface, scikit-learn, sentence-transformers, einops, pypdf, pillow, unstructured, and Pydantic. Both are written in Python.

- [datawhalechina/all-in-rag](https://seerepo.com/r/datawhalechina/all-in-rag): 🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI

## What they share and what sets them apart

- In common: chromadb, pyarrow, pymilvus, Neo4j, datasets, llama-index-embeddings-openai, llama-index-llms-openai, OpenAI, tavily-python, tiktoken, tokenizers, torch, LangChain, transformers, llama-index-core, llama-index-embeddings-huggingface, scikit-learn, sentence-transformers, einops, pypdf, pillow, unstructured, Pydantic
- Only in all-in-rag: Hugging Face, accelerate, faiss-cpu, langchain-unstructured, librosa, torchaudio, unstructured-client, langchain-community, langchain-deepseek, langchain-huggingface, langchain-openai, timm, langchain-text-splitters, torchvision, langchain-experimental, LangGraph, llama-index, rank-bm25, av, markdown, openpyxl, pypdfium2
- Only in llama_index: starlette, aiomysql, aiosqlite, async-lru, asyncpg, azure-cosmos, azure-data-tables, azure-search-documents, azure-storage-blob, ibm-db, nebula3-python, oss2, pgml, pgvecto-rs, pgvector, pickleshare, psycopg, psycopg2-binary, pyathena, pydrive, pylance, pymongo, python-arango, pyvespa, pyzmq, Redis, snowflake-sqlalchemy, tantivy, weaviate-client, aioboto3, lancedb, oracledb, DuckDB, pysolr, SQLite, tablestore, aperturedb, astrapy, dashvector, falkordb, jaguardb-http-client, MySQL, pinecone, clickhouse-connect, couchdb3, gcsfs, opendal, pyairtable, pyiceberg, pymochow, pymysql, pyobvector, s3fs, tcvectordb, typesense, ElevenLabs, anyio, graphql-core, jupyter-core, jupyterlab-server, tornado, AIOHTTP, Ray, jupyterlab-pygments, soupsieve, tinycss2, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, prompt-toolkit, widgetsnbextension, matplotlib, Rich, SQLAlchemy, argon2-cffi, argon2-cffi-bindings, azure-identity, Google, google-auth-httplib2, google-auth-oauthlib, cryptography, pyjwt, msal, argilla, azure-ai-agents, azure-ai-inference, azure-ai-projects, contextual-client, diff-cover, firecrawl-py, friendli-client, guardrails-ai, llama-cpp-python, llama-index-embeddings-dashscope, llama-index-llms-anthropic, llama-index-llms-azure-openai, llama-index-llms-huggingface, llama-index-llms-llama-cpp, llama-index-llms-openai-like, llama-index-node-parser-dashscope, llama-index-program-guidance, llama-index-readers-dashscope, llama-index-readers-database, llama-index-readers-remote, llama-index-readers-upstage, llama-index-readers-web, llama-index-response-synthesizers-google, llama-index-utils-azure, llama-index-utils-huggingface, llama-index-utils-qianfan, llama-index-vector-stores-google, llama-index-workflows, mem0ai, ms-swift, open-clip-torch, opencv-python, openinference-instrumentation-llama-index, openvino-tokenizers, PaddlePaddle, portkey-ai, reka-api, llama-index-instrumentation, ibm-watsonx-ai, cohere, MCP, dashscope, fastembed, flagembedding, llama-cloud, nltk, optimum-intel, sentencepiece, ai21, aleph-alpha-client, chonkie, gigachat, guidance, igptai, konko, litellm, mixedbread, ModelScope, octoai, Ollama, openvino, openvino-genai, premai, tritonclient, vLLM, voyageai, zep-python, zhipuai, agent-search, aimon, argilla-llama-index, assemblyai, bm25s, browserbase, cleanlab-tlm, cognee, colpali-engine, exa-py, flashrank, hnswlib, honeyhive, instructorembedding, isaacus, langfuse, llmlingua, llmsherpa, marvin, mlx, mlx-lm, nomic, notdiamond, optimum, optimum-habana, paddleocr, peft, presidio-analyzer, presidio-anonymizer, promptlayer, psychicapi, pydi-client, rank-llm, span-marker, superlinked, uptrain, vectorize-client, videodb, beautifulsoup4, bleach, camelot-py, ghostscript, llama-index-readers-file, llama-index-readers-youtube-transcript, maincontentextractor, marker-pdf, markupsafe, mistune, nbformat, newspaper3k, nougat-ocr, pandocfilters, webencodings, xlrd, bs4, html2text, defusedxml, jinja2, lxml, pymupdf, filetype, bagel, docx2txt, markdownify, olefile, pytesseract, dgml-utils, docling, layoutir, llama-parse, lxml-html-clean, markitdown, nbconvert, pdf2image, pdfplumber, pypdf2, striprtf, svglib, tika, tinytag, youtube-transcript-api, fastjsonschema, fqdn, jsonschema-specifications, marshmallow, referencing, rfc3339-validator, rfc3986-validator, docling-core, annotated-types, jsonschema, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, docker, Alibaba Cloud, oci, OpenTelemetry

## Side by side

| | all-in-rag | llama_index |
|---|---|---|
| Size | 17,394 lines written, 80 code files | 473,236 lines written, 2,055 code files |
| Who writes it | 0.8% of its commits signed by AI. With Cursor | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot |
| Activity | Last push September 30, 2026, 373 commits, 13,017 stars | Last push November 8, 2026, 7,964 commits, 52,863 stars |
| Tests | 0 test files | 1,607 test files. 46.5% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, all-in-rag or llama_index?

llama_index, with 473,236 lines written; all-in-rag has 17,394.

The proof: [run-llama/llama_index's code at commit fe107aa](https://github.com/run-llama/llama_index/tree/fe107aab65e46d1d07c80663182691970417bbd9)

### Which has more GitHub stars, all-in-rag or llama_index?

llama_index, with 52,863 stars; all-in-rag has 13,017.

The proof: [run-llama/llama_index on GitHub](https://github.com/run-llama/llama_index)

### Which has more tests, all-in-rag or llama_index?

llama_index, with 1,607 test files.

The proof: [run-llama/llama_index's code at commit fe107aa](https://github.com/run-llama/llama_index/tree/fe107aab65e46d1d07c80663182691970417bbd9)

### Which was updated more recently, all-in-rag or llama_index?

llama_index: its last push was on November 8, 2026, and all-in-rag's on September 30, 2026.

The proof: [run-llama/llama_index's commits on GitHub](https://github.com/run-llama/llama_index/commits)

### Which has more commits signed by AI, all-in-rag or llama_index?

all-in-rag: an AI signed 0.8% of its commits, with Cursor; in llama_index, 0.2%.

## Sources

- datawhalechina/all-in-rag: Read on November 10, 2026, at commit cec956e (https://github.com/datawhalechina/all-in-rag/tree/cec956e80ae28d6c0ca84c9d39dddcf61ad633fd)
- run-llama/llama_index: Read on November 10, 2026, at commit fe107aa (https://github.com/run-llama/llama_index/tree/fe107aab65e46d1d07c80663182691970417bbd9)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.