recipes and recipes-ts

These are ecosystem siblings providing parallel implementations of the same educational content—one offering Python notebooks and the other offering TypeScript scripts for developers working in different language ecosystems.

recipes
60
Established
recipes-ts
35
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 6/25
Adoption 6/25
Maturity 8/25
Community 15/25
Stars: 938
Forks: 185
Downloads:
Commits (30d): 6
Language: Jupyter Notebook
License:
Stars: 19
Forks: 4
Downloads:
Commits (30d): 0
Language: TypeScript
License:
No License No Package No Dependents
No License No Package No Dependents

About recipes

weaviate/recipes

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

This project provides practical, step-by-step guides for developers building applications that use Weaviate, a vector database. It demonstrates how to connect Weaviate with other technologies and use its features like search, classification, and data management. Developers will find examples of how to integrate various data platforms, LLM frameworks, and operational tools with Weaviate to build intelligent applications.

vector-database-development LLM-application-development AI-integration data-platform-integration search-system-design

About recipes-ts

weaviate/recipes-ts

This repository shares end-to-end scripts on how to use various Weaviate features and integrations!

This project provides practical, step-by-step examples for JavaScript developers looking to implement Weaviate features. It takes various data inputs and demonstrates how to build applications that perform semantic similarity searches and generative AI-powered searches using Retrieval Augmented Generation (RAG). The primary users are JavaScript developers who want to integrate advanced search capabilities into their applications.

JavaScript development vector search implementation RAG application development semantic search integration Weaviate development

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