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.
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