VQV Signal
A new DSL based on Google Zanzibar's datalog language has been developed for Lean4 and other languages, enabling representation and evaluation of knowledge bases without relying on large engines or external infrastructure. This approach supports version control with git and iterative improvement.
A new DSL based on Google Zanzibar's datalog language has been developed for Lean4 and other languages, enabling representation and evaluation of knowledge bases without relying on large engines or external infrastructure. This approach supports version control with git and iterative improvement.
AI-assisted summary based on the listed source.
Google Zanzibar datalog lang lets you describe concepts and express how they are related. I generalize it to DSL you can use on Lean4 (and other languages) this lets you represent a knowledge base you can construct, store and evaluate, have it under git and improve without big engines or relaying on external...
This DSL allows AI projects to manage and evolve knowledge bases more efficiently and independently, reducing dependency on external systems. It offers a structured way to describe concepts and their relationships, which is crucial for AI reasoning and search applications.
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Google has a source-backed funding with coverage spanning research.
VQV surfaced this signal because it is recent, relevant to AI Search, connected to Hacker News Front Page.
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