🦉⚡️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.
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.
Find art with AI using Cloudflare's Vector Database Vectorize, LlaVA and LlaMA on Workers AI, and more!
SynapseAPI - Serverless Vector Embeddings API using Cloudflare's Vectorize and OpenAI
An LLM agent that uses vectorise to make RSS feeds searchable
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)
An intelligent, user-focused AI platform for organizing, retrieving, and interacting with your information seamlessly.
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.
A compact Retrieval-Augmented Generation (RAG) API on Cloudflare Workers (Python) that powers a chatbot designed to help CSUF students in course selection.
vector embedding on faiss, postgresql and opensearch using python v3.12.8 + streamlit v1.45.1 + langchain v0.3.25
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