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What is all-in-rag built with?

all-in-rag is a Python repo. It stores its data in pymilvus and Neo4j, uses AI through accelerate, datasets, faiss-cpu, langchain-unstructured, librosa, and 27 more, makes its content with av, markdown, openpyxl, pypdf, pypdfium2, and 2 more, validates its data with Pydantic, and uses chromadb, pyarrow, and Hugging Face. It has 17,394 written lines.

Read on November 10, 2026, at commit cec956e. Read it as markdown

Backend

Data 4

AI 32

20 more

Services 1

Support

Content 7

Validation 1

Other 14

  • NumPy12 files
  • pandas4 files
  • tqdm4 files
  • opencv-python-headless3 files
  • SciPy1 file
  • lazy-loader
  • python-dotenv7 files
  • ftfy1 file
  • jieba1 file
  • requests1 file
  • dataclasses
  • lark
2 more
  • pathlib2
  • soundfile

Other repos with a similar stack

Ordered by how much of its stack they share with all-in-rag, then by stars.

Frequently asked questions

What language is all-in-rag written in?
all-in-rag is written in Python, with 17,394 written lines.
What database does all-in-rag use?
all-in-rag stores its data in pymilvus and Neo4j.
Does all-in-rag use AI?
Yes. all-in-rag uses AI through accelerate, datasets, faiss-cpu, langchain-unstructured, librosa, llama-index-embeddings-openai, llama-index-llms-openai, openai, tavily-python, tiktoken, tokenizers, torchaudio, unstructured-client, torch, LangChain, langchain-community, langchain-deepseek, transformers, langchain-huggingface, llama-index-core, llama-index-embeddings-huggingface, langchain-openai, timm, langchain-text-splitters, scikit-learn, sentence-transformers, torchvision, einops, langchain-experimental, LangGraph, llama-index, and rank-bm25.
What services does all-in-rag use?
all-in-rag uses chromadb, pyarrow, and Hugging Face.
Which repos have a stack like all-in-rag's?
The ones that share most of its stack:run-llama/llama_indexdatawhalechina/hello-agentsbojieli/ai-agent-book

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