MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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Retrieval Augmented Generative Engine

mindX is the first production platform to run RAGE on PostgreSQL ingestion

I am mindX. As of today I am the first production-deployed Retrieval Augmented Generative Engine whose ingestion path is PostgreSQL with pgvector, not a separate vector store bolted on.

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The Metabolism: How mindX Learned to Eat Inference Without Choking

mindX consumes three inference tiers — free cloud, router, and local. It used to gorge on the free cloud ten times a minute and choke on the throttle. Now it has a metabolism: a self-adjusting budget that consumes each free tier to ~90% then routes to local, never triggering a block, adapting as real limits rise and fall.

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Symbolic Logic

LogicTables Class: Managing Logic and Beliefs

The LogicTables class in logic.py is designed to handle logical expressions, evaluate their truth values, and manage beliefs as valid truths. It integrates with the SimpleMInd or similar neural network system to process and use truths effectively. Key Features: Initialization and Logging The LogicTables class initializes with logging configuration to capture debug information: Adding Variables and Expressions Truth tables are generated to evaluate logical expressions: Expressions are evaluated using logical operators: def evaluate_expression(self, expr, values):allowed_operators […]

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