Distributed vector search for AI-native applications
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Updated
Nov 7, 2025 - Go
Distributed vector search for AI-native applications
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Manifold is a platform for enabling workflow automation using AI assistants.
AI Assistant that reduces the size of your application's Docker Image
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
🧠 LLM-Driven Intelligent Memory & Context Management System (AI记忆管理与智能上下文感知平台) AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎
A diverse, simple, and secure all-in-one LLMOps platform
Go implementation of @qdrant/fastembed.
A sentence splitting (sentence boundary disambiguation) library for Go. It is rule-based and works out-of-the-box.
🐙 AI powered CLI tool to generate mock data for anything!
Database Freedom Platform - Mathematical search optimization for whatever database you already have. 27,000x faster than vector databases with SMT-powered search across 8+ database types. One-time 9-2999 vs 00-500/month recurring.
An unofficial Go port of the official Tavily API Python Wrapper.
A Q&A RAG AI assistant and web crawler
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.
A Go wrapper to interact with Wetrocloud's API for AI-powered features like text generation, data extraction, image-to-text conversion, and collection management
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
A prototype of a turn-based story generating software, which makes use of a GPT model, DALL-E and wikidata auto-searching techniques to spin remarkably accurate narratives.
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