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![Tanaka_L2 Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1456891312230506496.png) Tanaka [@Tanaka_L2](/creator/twitter/Tanaka_L2) on x 59.5K followers
Created: 2025-07-08 14:54:11 UTC

gOcto,

When I first started exploring AI agents, I kept hearing about "RAG" – Retrieval-Augmented Generation.

At first, I thought it was just a clever way to improve model accuracy. But when combined with Proof of Attribution the way @OpenledgerHQ is doing it, the full picture started to click:

▸ #RAG helps agents retrieve original source data → improves factual accuracy

▸ Attribution tracks what data influenced which outputs → improves trustworthiness

The fascinating part? Neither requires retraining the model, yet both elevate trust dramatically.

You don’t need to fine-tune a model to build a great agent.

You need an agent that can cite its sources, and credit contributors.

→ When I saw #OpenLedger integrating both directly into the inference layer, it became clear:

Agents don’t just need to be smart, they need to be transparent.


XXXXX engagements

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**Related Topics**
[proof of](/topic/proof-of)
[openledgerhq](/topic/openledgerhq)
[just a](/topic/just-a)
[coins ai agents](/topic/coins-ai-agents)
[coins ai](/topic/coins-ai)

[Post Link](https://x.com/Tanaka_L2/status/1942598091355619618)