The Zero-Overhead, Agent-Ready AI Memory Backbone. Ultra‑fast, SIMD‑accelerated semantic search engine built on Java Vector API + modern JVM technologies.
-
Updated
Jun 17, 2026 - Java
The Zero-Overhead, Agent-Ready AI Memory Backbone. Ultra‑fast, SIMD‑accelerated semantic search engine built on Java Vector API + modern JVM technologies.
Embedded vector database + living context engine Part of Hawky.ai — AI-Native Digital Marketing OS
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.
A production-ready local RAG system. Features LaTeX/Table preservation, two-stage retrieval (Vector Search + Reranking), and grounded generation with Ollama.
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.
A professional Agentic RAG study platform that transforms static documents into interactive learning experiences. Featuring an autonomous AI Teaching Assistant, real-time collaborative workspaces, and automated study tool generation (Quizzes, Plans, Summaries) powered by Gemini and Groq.
faiss + Embeddings powered KPI classification system
ClientReach AI is an AI-powered platform that understands client requirements, retrieves relevant portfolio projects using semantic search, and generates personalized B2B outreach emails that highlight domain expertise and past project experience.
A production-ready image-based product search system using CLIP and pgvector.
LML-powered transaction categorization using multimodal fusion encoding with FAISS-based retrieval. Features HNSW indexing, FP16 precision, and batch processing for faster inference
Add a description, image, and links to the hnsw-index topic page so that developers can more easily learn about it.
To associate your repository with the hnsw-index topic, visit your repo's landing page and select "manage topics."