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.
About recipes
weaviate/recipes
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
Covers practical implementations across vector, hybrid, and generative search workflows, media search (images/videos), reranking, multi-tenancy, and product quantization for vector compression. Integrates with major LLM frameworks (LangChain, LlamaIndex, Crewai), data platforms (Databricks, Airbyte, Firecrawl), and cloud providers (Google, AWS, NVIDIA). Includes pre-built datasets and examples demonstrating Weaviate Services like QueryAgent and TransformationAgent for agentic workflows.
About recipes-ts
weaviate/recipes-ts
This repository shares end-to-end scripts on how to use various Weaviate features and integrations!
Demonstrates semantic search and retrieval-augmented generation (RAG) workflows through TypeScript implementations, covering `nearText`, `nearObject`, and `nearVector` query operators paired with LLM integration for generative results. Recipes integrate with multiple AI providers (Cohere, Mistral) and support both Weaviate Cloud Service and local Docker deployments, with runnable examples available on Replit for immediate experimentation.
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