AI semantic search for Zotero 7 & 8. Find papers by meaning, not just keywords. 100% local and private.

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

Enhanced MCP server for semantic code search with call-graph proximity, recency ranking, and find-similar-code. Built for AI coding assistants.

Semantic search web app using the Large Language Model (LLM) Cohere for embeddings to match context and meaning, rather than keywords.

A semantic search application built using FastAPI, Pinecone, and Sentence Transformers to match questions from Quora dataset.

An open-source platform democratizing Generative AI Applications. Build and deploy AI-powered tools without extensive expertise. Features flexible data integration, semantic search, and LLM integration. Create sophisticated AI applications using your private knowledge bases.

Get your Error Solution by just Pasting Error.

🤖 That's a simple LLM semantic search that implements RAG concepts with help of LangChain and OpenAI API.

Designed specifically for content designers working with AI systems. Materials include practical examples, templates, checklists, code samples, and actionable frameworks

The goal of this project is to build a small Discord Bot that search messages in discord channels. It does semantic search along simple word search. It is compatible with multiple LLM Semantic Models, like Bert or e5 for instance.

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.

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)

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.

Language of Vectors (LangVec) is a simple Python library designed for transforming numerical vector data into a language-like structure using a predefined set of words (lexicon).

AI-Spaces integrates React, Redux Toolkit, and FastAPI to build an advanced platform for interacting with AI models. Users can input questions or upload documents to receive precise, AI-driven summaries, creating a seamless and intuitive experience for modern web applications.

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.

Pure-Swift vector search for Apple platforms. HNSW from scratch. Zero dependencies. Powered by Accelerate.