Embedded vector database + living context engine Part of Hawky.ai — AI-Native Digital Marketing OS
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Updated
Apr 26, 2026 - Python
Embedded vector database + living context engine Part of Hawky.ai — AI-Native Digital Marketing OS
A production-ready local RAG system. Features LaTeX/Table preservation, two-stage retrieval (Vector Search + Reranking), and grounded generation with Ollama.
faiss + Embeddings powered KPI classification system
KnowMore is an AI-powered knowledge repository designed to organize, retrieve, and reason over large collections of institutional knowledge using modern Retrieval-Augmented Generation (RAG) techniques.
Real-time blockchain fraud detection using autonomous multi-agent AI swarms. Detect fraud in <2s with 150x faster vector search (HNSW), 84.8% accuracy, and 73% cost reduction. Features ERC-1155 trust scores, MCP integration, and reflexion learning.
LML-powered transaction categorization using multimodal fusion encoding with FAISS-based retrieval. Features HNSW indexing, FP16 precision, and batch processing for faster inference
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