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🆕 Retrieval Engine by tackles the AI hallucination problem 🔥 RAG grounds AI responses in your docs (with citations!), reducing fabricated outputs that pretend to be accurate. 1️⃣ Upload docs 2️⃣ Ask questions 3️⃣ Get cited answers Built for when accuracy really matters. Try it now ⤵️

io.net

448,134 subscribers

19,765 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

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10 条评论

io.net 的头像

io.net1 年前

Try Retreival Engine now:

ksminnovation 的头像

ksminnovation1 年前

AI is transforming healthcare! A KSM-led study shows AI can detect Celiac disease 4 years earlier @TalPatalon @MedPredict

Leonard McDoogan 的头像

Leonard McDoogan1 年前

$IO

Alberto 的头像

Alberto1 年前

RAG grounds AI responses in your docs (with citations!), reducing fabricated outputs that pretend to be accurate.

Akash.eth 的头像

Akash.eth1 年前

Lfg

TASMAN 的头像

TASMAN1 年前

👍🔥🚀💻🥇

Boss | IONET Astronaut - Dev 的头像

Boss | IONET Astronaut - Dev1 年前

Looks great 🔥

FEKU 的头像

FEKU1 年前

@shadid_io 🔥 can’t wait to test it tomorrow

Lele 的头像

Lele1 年前

$IO

0xJacky 🟣 的头像

0xJacky 🟣1 年前

In $IO We Trust

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Open-source retrieval-augmented generation engine that combines advanced RAG techniques with agentic capabilities for grounded, traceable AI answers.

Open-source retrieval-augmented generation engine that combines advanced RAG techniques with agentic capabilities for grounded, traceable AI answers.

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