EMBEDDINGS.md

Embedding model configs, dimensions, and similarity rules

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Recent EMBEDDINGS.md Documents

🎯 SherlockAI Interview Preparation Guide

"SherlockAI is an AI-powered issue intelligence system that transforms tribal knowledge into institutional memory. When engineers face production issues, instead of asking colleagues or searching Slack, they get instant AI-generated solutions based on similar past incidents. We built this using a RAG architecture with hybrid search, achieving 85% accuracy and reducing resolution time from 60 minutes to 5 minutes."

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EMBEDDINGS.md

✅ ENHANCED SPROUTCV IMPLEMENTATION STATUS REPORT

**STATUS: ADVANCED FEATURES SUCCESSFULLY IMPLEMENTED** ✅

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EMBEDDINGS.md

ML Feedback Loop Analysis

> Design document analyzing how user actions feed back into ML predictions,

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EMBEDDINGS.md

tensor_factorization

Tensor factorization is a method for decomposing tensors, which are described in [Section @sec:loading-rescal], into lower-rank approximations.

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EMBEDDINGS.md

Startup Ecosystem Platform — Implementation Plan

> Based on: `architecture.md`

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Tensorus Demo Script: Showcasing Agentic Tensor Management

This demo showcases the key capabilities of Tensorus, an agentic tensor database/data lake. We'll walk through data ingestion, storage, querying, tensor operations, and how to interact with the system via its UI and APIs.

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EMBEDDINGS.md