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semantic-search-ai

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Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

  • Updated Nov 24, 2025
  • Kotlin

Semantic Movie Discovery System is a full-stack web application that enables users to discover movies using natural language queries powered by semantic search and vector similarity. Built with Next.js, Express.js, MongoDB, and Qdrant, it delivers context-aware movie recommendations based on plot, genre, and title meaning rather than keywords.

  • Updated Jan 20, 2026
  • TypeScript

A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.

  • Updated Jan 10, 2026
  • PLpgSQL

Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs Experimental memory system for LLMs (see MemMimic for optimized version)

  • Updated Jun 13, 2025
  • Python

A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.

  • Updated Jan 10, 2026
  • PLpgSQL

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