Hey everyone!
Sharing my latest project, a Google BigQuery + Ethereum RAG pipeline that integrates machine learning and AI capabilities for on-chain data exploration.
The idea is to make Ethereum blockchain analytics more intelligent, by combining:
- Google BigQuery’s Ethereum dataset
- Retrieval-Augmented Generation (RAG)
- LLM-assisted SQL generation and embeddings
It is designed for Blockchain Analytics developers, researchers, and data scientists who want to run natural language blockchain queries, detect anomalies, and even power AI-driven dashboards.
Check it out here: https://github.com/garyzava/bigq-ethereum-rag
Would love your feedback, suggestions, or collaboration ideas! Feel free to ⭐ the repo if you find it useful.
Top comments (1)
That’s awesome, man. Super cool idea combining BigQuery and RAG for Ethereum analytics, really smart move. Love how you’re bridging AI with on-chain data. Solid work, seriously.