Founders

We launched dria.co, The Wikipedia of AIs:

Dria is the Decentralized Knowledge & Open Connectivity Interface between Humans and Machines.

You can find @vitalik.eth ‘s cast’s as a permissionless vectordb,  universally retrievable by any AI app.

We launched dria.co, The Wikipedia of AIs:

Dria is the Decentralized Knowledge & Open Connectivity Interface between Humans and Machines.

You can find @vitalik.eth ‘s cast’s as a permissionless vectordb,  universally retrievable by any AI app.

https://dria.co/knowledge/db9dJtuG-UYYxEJC0wmqKKReLfU5NbuIzmoMkDgd0G0

Grinding dria.co | Building the Infinite Data Generation Engine @driaforall: Everything Synthetic Data, LLMs, and Multi-Agent Systems

Dria is an Open Source collective Knowledge Hub.

Knowledge Hub consists of multi-region and serverless public vector databases called knowledge, curated from PDF, MP3, CSV, or other file types. It is fully decentralized and every index is available as a smart contract, making each Knowledge public and permanent.

Dria's zero technical mumbo jumbo approach allows everyone to contribute knowledge to LLMs.

Drag & Drop Public RAG Model effortlessly transforms knowledge into a retrievable format with an intuitive drag-and-drop upload feature.

Users worldwide can contribute valuable knowledge to shared RAG knowledge in an environment where knowledge uploaders can earn rewards for the value of their verifiable work.

Anyone can run RAG models locally through smart contracts, enabling permissionless access to world knowledge.

Dria stores all of the world's knowledge into a public ledger called @ Arweave, a decentralized storage network designed to offer a platform for permanently storing data.

Visit https://www.firstbatch.xyz/blog/dria for additional information and upcoming developments.

Dria modernizes AI interfacing by indexing and delivering the world's knowledge via LLMs.

Dria's Public RAG Models Democratize knowledge access with cost-effective, shared RAG models.

Today, Dria is able to handle Wikipedia's entire database and annual 56 billion traffic efficiently at just $258.391.