🦉⚡️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.
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!
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.
An intelligent, user-focused AI platform for organizing, retrieving, and interacting with your information seamlessly.
vector embedding on faiss, postgresql and opensearch using python v3.12.8 + streamlit v1.45.1 + langchain v0.3.25
Cloudflare Domain https://willbracken.com Code Visualizations and Builds
Application for managing and querying Cloudflare Vectorize indexes. Built with Tauri, Vanilla TypeScript, and Tailwind CSS.
📚 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.
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