🦉⚡️Serverless, distributed vector database as an API
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Updated
Feb 19, 2024 - TypeScript
🦉⚡️Serverless, distributed vector database as an API
🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations.
Personal knowledge graph MCP server on Cloudflare D1 + Vectorize. Deploy your own sovereign second brain in one click — Claude captures atomic concepts, finds cross-domain analogies, and links them with substantive justifications. Latticework thinking as a service, running entirely in your Cloudflare account.
For your repository, issuedigger will notify authors of new issues about similar, previously submitted ones, saving manual digging. Implemented as a single, AI-enabled Cloudflare Worker.
Open-source AI chatbot trained on your data, deployable on Cloudflare Workers for free.
An LLM agent that uses vectorise to make RSS feeds searchable
SynapseAPI - Serverless Vector Embeddings API using Cloudflare's Vectorize and OpenAI
Find art with AI using Cloudflare's Vector Database Vectorize, LlaVA and LlaMA on Workers AI, and more!
Persian-first anonymous Telegram bot on Cloudflare Workers for personal links, sealed anonymous messages, anonymous replies, and opt-in conversation suggestions.
A Cloudflare Workers implementation of the Cloudflare Vectorize API to be used as a Service Binding from Cloudflare Pages Functions (since it's not yet supported)
A compact Retrieval-Augmented Generation (RAG) API on Cloudflare Workers (Python) that powers a chatbot designed to help CSUF students in course selection.
DevAssist: An autonomous AI developer agent that helps you build Cloudflare applications and answers technical questions. It uses RAG to search official documentation and writes full multi-file projects in real-time.
vector embedding on faiss, postgresql and opensearch using python v3.12.8 + streamlit v1.45.1 + langchain v0.3.25
A Retrieval-Augmented Generation (RAG) pipeline that ingests PDF documents into Cloudflare Vectorize and answers questions using an LLM via OpenRouter
An intelligent, user-focused AI platform for organizing, retrieving, and interacting with your information seamlessly.
📚 Slack RAG bot using Gemini to answer questions from Google Drive docs.
A high-performance, cost-efficient AI agent orchestration system built on Cloudflare Workers, featuring stateful Durable Objects, Llama 3 models, and Vectorize RAG.
Store and retrieve knowledge across AI tools with an MCP server deployed on Cloudflare Workers.
Application for managing and querying Cloudflare Vectorize indexes. Built with Tauri, Vanilla TypeScript, and Tailwind CSS.
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