Source: https://seerepo.com/compare/datawhalechina/all-in-rag/vs/hpcaitech/ColossalAI
Markdown source: https://seerepo.com/compare/datawhalechina/all-in-rag/vs/hpcaitech/ColossalAI.md
Description: all-in-rag and ColossalAI share 20 technologies: chromadb, Hugging Face, accelerate, datasets, OpenAI, tiktoken, tokenizers, torchaudio, torch, LangChain, transformers, timm, scikit-learn, sentence-transformers, torchvision, einops, pypdf, pillow, unstructured, and Pydantic. Both are written in Python.

# all-in-rag vs ColossalAI

all-in-rag and ColossalAI share 20 technologies: chromadb, Hugging Face, accelerate, datasets, OpenAI, tiktoken, tokenizers, torchaudio, torch, LangChain, transformers, timm, scikit-learn, sentence-transformers, torchvision, 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/
- [hpcaitech/ColossalAI](https://seerepo.com/r/hpcaitech/ColossalAI): Making large AI models cheaper, faster and more accessible

## What they share and what sets them apart

- In common: chromadb, Hugging Face, accelerate, datasets, OpenAI, tiktoken, tokenizers, torchaudio, torch, LangChain, transformers, timm, scikit-learn, sentence-transformers, torchvision, einops, pypdf, pillow, unstructured, Pydantic
- Only in all-in-rag: pyarrow, pymilvus, Neo4j, faiss-cpu, langchain-unstructured, librosa, llama-index-embeddings-openai, llama-index-llms-openai, tavily-python, unstructured-client, langchain-community, langchain-deepseek, langchain-huggingface, llama-index-core, llama-index-embeddings-huggingface, langchain-openai, langchain-text-splitters, langchain-experimental, LangGraph, llama-index, rank-bm25, av, markdown, openpyxl, pypdfium2
- Only in ColossalAI: FastAPI, uvicorn, anyio, Ray, Gradio, seaborn, matplotlib, Rich, SQLAlchemy, ModelScope, triton, peft, diffusers, flash-attn, safetensors, bitsandbytes, vLLM, galore-torch, math-verify, sentencepiece, jinja2, markdown-it-py, markupsafe, mdurl, jsonlines, annotated-types, pydantic-core, psutil

## Side by side

| | all-in-rag | ColossalAI |
|---|---|---|
| Size | 17,394 lines written, 80 code files | 317,403 lines written, 974 code files |
| Who writes it | 0.8% of its commits signed by AI. With Cursor | 0.3% of its commits signed by AI. With Codex and Claude Code |
| Activity | Last push September 30, 2026, 373 commits, 13,017 stars | Last push November 6, 2026, 3,887 commits, 41,430 stars |
| Tests | 0 test files | 505 test files. 1.1% 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 ColossalAI?

ColossalAI, with 317,403 lines written; all-in-rag has 17,394.

The proof: [hpcaitech/ColossalAI's code at commit da8f5c2](https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)

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

ColossalAI, with 41,430 stars; all-in-rag has 13,017.

The proof: [hpcaitech/ColossalAI on GitHub](https://github.com/hpcaitech/ColossalAI)

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

ColossalAI, with 505 test files.

The proof: [hpcaitech/ColossalAI's code at commit da8f5c2](https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)

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

ColossalAI: its last push was on November 6, 2026, and all-in-rag's on September 30, 2026.

The proof: [hpcaitech/ColossalAI's commits on GitHub](https://github.com/hpcaitech/ColossalAI/commits)

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

all-in-rag: an AI signed 0.8% of its commits, with Cursor; in ColossalAI, 0.3%.

## Sources

- datawhalechina/all-in-rag: Read on November 10, 2026, at commit cec956e (https://github.com/datawhalechina/all-in-rag/tree/cec956e80ae28d6c0ca84c9d39dddcf61ad633fd)
- hpcaitech/ColossalAI: Read on November 6, 2026, at commit da8f5c2 (https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)

## 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.