Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

The codebase for the book "AI-Powered Search" (Manning Publications, 2025)

[ICLR'26] AutoGEO: a Generative Engine Optimization framework to automatically learn generative engine preferences, and rewrite web contents for more traction.

Official Weaviate TypeScript Client

Website for the Weaviate vector database

No longer maintained, please see the TypeScript client

Experimenting Weaviate vector database with OpenAI vectorizer module and generative search

GPT generated script to generate SEO keywords

This repository contains a Python-based LLM content generator for GEO or SEO, automatically extracting website text, pages, and blogs to produce an llms.txt file. Built with BeautifulSoup, Requests, and Streamlit, it enables effortless content analysis, summarization, and structured output for any domain

Retrieve recipes as Shakespearean poems.

Research notebook for thedrop.gifts: what survives of editorial voice when LLMs become the search interface

Framework for analysing AI Readiness and AI Visibility of websites

Lightweight headless rendering service that create SEO-friendly HTML snapshot for search engine bots with JSON-LD metadata

G-SEO (Generative Search Optimization) is a structured framework and scoring methodology for evaluating and organizing digital content for interpretation by generative search systems.