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.
- Updated
Dec 11, 2025 - Go
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)
Official Weaviate TypeScript Client
Website for the Weaviate vector database
No longer maintained, please see the TypeScript client
AutoGEO: a framework to automatically learn generative engine preferences, and rewrite web contents for more traction.
Experimenting Weaviate vector database with OpenAI vectorizer module and generative search
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.
Lightweight headless rendering service that create SEO-friendly HTML snapshot for search engine bots with JSON-LD metadata
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