# Technology
#### Technology
Fig 8: The Decentralized AI Ecosystem
Our federated AI layer, can be seen as a truth & security layer whereby all knowledge passes through and is validated before being passed onto the user. There are many exciting technologies and startups in the AI space at different stages and part of the value chain, and we plan to port different parts of our technology stack over as they mature.
Expounding on our Web 2.0 product, we plan to incorporate community-driven DAO governance to decentralize the AI and allow for token staking in addition to RPGF rewards. Following this, our RAG smart filter will follow more this workflow:
Fig 10: Knowledge Input via RAG Smart Filter
How does Knowledge Pool Work
1. Validators submit a knowledge sources or documents/data to be entered into the knowledge pool
1. Validators will have our current AI at their disposal to help vet and evaluate new knowledge while voting on their own opinion,
2. Validators must be staking tokens
2. Other validators on the network can upvote or downvote the data and votes are in proportion to amount of tokens they have staked
1. Voting will follow voting rules and constitution set by the DAO
3. After a set period of time based on the total downvotes or upvotes - the knowledge is Rejected or Approved
1. If you voted correctly stakers get a reward
2. if you voted incorrectly stakers get slashed
We have a set staking reward for all community staking set amount of rewards per period as a minimum and maximum threshold on a per block basis as set by the DAO. However, validators get more rewards based on how much community stake is on them.
And on a more technical spectrum be split into two AI’s, one for knowledge-expert and another for validation. Both AI’s can be staked and decentralized to avoid tampering.
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