Submit a resource

Navigation

Back to directory

Knowledge Chatbot

A self-hosted, embeddable chatbot that indexes a website's own content and answers visitor questions over text or voice, built entirely on the Cloudflare Workers stack with Vectorize for retrieval.

Visit website (opens in a new tab)github.com
Knowledge Chatbot

Knowledge Chatbot is a minimal, open-source, embeddable AI chatbot that answers questions from a website's own content over text or voice: a site is added as a knowledge source, the widget is embedded, and visitors can chat with that content.

It crawls and indexes website content, stores vectors in Cloudflare Vectorize (768 dimensions, cosine metric) for retrieval, and runs inference through Cloudflare Workers AI, with no separate backend server required. State lives in Cloudflare D1, Durable Objects and KV, and Cloudflare Browser Rendering handles crawling.

Built with TypeScript on the Cloudflare stack (Workers, D1, Durable Objects, Vectorize, Workers AI, Browser Rendering, KV, Assets), deployed with a Deploy to Cloudflare button. AGPL-3.0 licensed; the project expects breaking changes and does not guarantee backward compatibility.

More in RAG

See all 540

  • ai·rete·rag

    ai-rete-rag.com

    A platform that pairs a Rete rule engine with retrieval-augmented generation, so deterministic rules decide an outcome and grounded retrieval explains the decision in plain language.

  • Xtriever

    github.com

    A hybrid retrieval engine for retrieval-augmented generation, written in Rust to run on-device on a phone or a laptop, combining lexical BM25 search, dense embedding search, reciprocal-rank fusion and cross-encoder re-ranking with no server.

  • FileFlux

    github.com

    A .NET library that turns PDF, DOCX, HWP and other documents into optimized chunks for RAG systems, through a five-stage pipeline built on high-performance Rust FFI readers.

Cookies

We use necessary cookies to run the site. Measurement and marketing are optional; neither is used today. Privacy policy