Semantic code searcher and codebase utility
AI semantic search for Zotero, with a built-in MCP server for AI agents (Claude Code, Codex). Find papers by meaning. 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.
Cognitive memory backbone for AI agents. Biologically-inspired 4-tier memory, it remembers, forgets, consolidates, and forms associations across a memory graph — Hebbian co-activation, temporal chains, and entity links.
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 advanced semantic search and knowledge retrieval framework designed for academic research and intelligent information discovery.
Production-ready semantic vector search for Django — searches across FK, M2M, and reverse relations by traversing your model graph. Pluggable backends: ChromaDB, FAISS, Qdrant.
Production .NET SDK for Alibaba ZVec — DI, typed ODM, async, SafeHandles, full indexes/FTS, and mobile RIDs. Not a thin P/Invoke wrapper.
A local knowledge vault for your AI agents — saves tokens, remembers across sessions, and turns every model into a disciplined engineer.
A production-grade, full-stack AI assistant platform for private document fleets — featuring real-time streaming, intelligent document ingestion, vector search, LLM-powered answers, and voice I/O.
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.
The private memory database for AI agents — persistent, temporal, encrypted, local-first. Built in Rust.
Get your Error Solution by just Pasting Error.
CitOmni knowledge base package for structured ingest, chunking, hybrid retrieval, synonym expansion, and grounded AI answers.
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.
AI-powered repository intelligence and failure-aware debugging foundation.
🤖 That's a simple LLM semantic search that implements RAG concepts with help of LangChain and OpenAI API.
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.
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