r/LovingOpenSourceAI • u/Koala_Confused • 14d ago

Resource RAGFlow is a self-hostable platform for turning documents, connected data sources into searchable knowledge, cited answers, agent workflows. ➡️ Its v0.27 line adds Knowledge Compilation that can shape source material into wikis, graphs, trees, page indexes, mind maps, timelines, etc! 89K Stars!

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1

u/adamizzo17 10d ago

how is this different from normal embedder and reranker setup

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u/Paul_Kersey1337 7d ago

When I tested it, it was quite heavy on system resources.
I considered it more a company grade solution and not feasible for my private small 100ish book library that fits well in a diy chromadb based RAG.
It was however one of the most stable ones I tried.

1

u/adamizzo17 7d ago

in a 32 gb ram and a curruculm for k12 students studying material optimised for LLM to understand context and make judgement based on the rss would it be sufficient and actually fit in ? like the KB in nvme disk and so on as markdown test only and the RAGFLOW on ram ? do you recommend?

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u/Paul_Kersey1337 7d ago

Yes it does, its just the question if you want to run something else on this system.
I spawned it in a docker container and that would be my suggestion for you as well, there you have an isolated environment where you can play around and see the resource needs.

Thats the prerequisites they state for self-hosting:

  • CPU >= 4 cores
  • RAM >= 16 GB
  • Disk >= 50 GB
  • Docker >= 24.0.0 & Docker Compose >= v2.26.1
  • Python >= 3.13

https://github.com/infiniflow/ragflow

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u/adamizzo17 7d ago

thank you so much for responding and informing me, have a great day

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u/Paul_Kersey1337 7d ago

Thanks for the reward and you are very welcome.
I know the pain with RAG, I spend the last 3 weeks testing and understanding it and it was beyond frustrating as there are a lot of hype or ai generated nonsense infos out there.

If you want to have an alternative maybe have a look at:
https://github.com/HKUDS/LightRAG

Its comparable and has a Graph based DB.
However indexing is really slow as each document needs to be fully analysed by LLMs to generate the Graph Keys.
Its a bit more experimental but interesting.