{"id":13465575,"url":"https://github.com/weaviate/recipes","last_synced_at":"2025-05-15T01:08:05.494Z","repository":{"id":167372782,"uuid":"641490799","full_name":"weaviate/recipes","owner":"weaviate","description":"This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!","archived":false,"fork":false,"pushed_at":"2025-05-12T20:49:39.000Z","size":312033,"stargazers_count":744,"open_issues_count":1,"forks_count":147,"subscribers_count":36,"default_branch":"main","last_synced_at":"2025-05-12T21:43:38.322Z","etag":null,"topics":["function-calling","generative-ai","llm-frameworks","python","retrieval-augmented-generation","vector-database","vector-search"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":["**Section 3** : Microsoft Semantic Kernel and Stanford NLP DSPy","A01_文本生成_文本对话","Jupyter Notebook","HarmonyOS","🔗 Integration \u0026 Utility Tools"],"sub_categories":["**DSPy**","大语言对话模型及数据","Windows Manager","**Connectors \u0026 Utilities**"],"readme":"# Welcome to Weaviate Recipes 💚\n\n![Weaviate logo](.github/Weaviate.png)\n\nThis repository covers end-to-end examples of the various features and integrations with [Weaviate](https://www.weaviate.io).\n\n| Category | Description |\n| -------------|---------|\n| [Integrations](/integrations)| Notebooks showing you how to use Weaviate plus another technology |\n| [Weaviate Features](/weaviate-features) | Notebooks covering vector, hybrid and generative search, reranking, multi-tenancy, and more |\n| [Weaviate Services](/weaviate-services/) | Notebooks showing you how to build with Weaviate Services |\n\n## Integrations 🌐\nCheck out Weaviate's [Integrations Documentation](https://weaviate.io/developers/integrations)!\n\n| Company Category | Companies |\n|------------------|-----------|\n| Cloud Hyperscalers | Google, AWS, NVIDIA |\n| Compute Infrastructure | Modal, Replicate |\n| LLM and Agent Frameworks | Agno, CrewAI, Composio, DSPy, Dynamiq, LangChain, LlamaIndex, Pydantic, Semantic Kernel, Ollama, Haystack |\n| Data Platforms| Databricks, Confluent, Box, Spark, Unstructured, Firecrawl, Context Data, Aryn, Astronomer, Airbyte, IBM (Docling) |\n| Operations | Arize, DeepEval, Langtrace, LangWatch, Nomic, Ragas, Weights \u0026 Biases |\n\n\n## Weaviate Features 🔧\n\n| Feature | Description |\n|---------|-------------|\n| Similarity Search | Use Weaviate's `nearText` operator to run semantic search queries (broken out by model provider) |\n| Hybrid Search | Use Weaviate's `hybrid` operator to run hybrid search queries (broken out by model provider) |\n| Generative Search | Build a simple RAG workflow using Weaviate's `.generate` (broken out by model provider) |\n| Filters | Narrow down your search results by adding filters to your queries |\n| Reranking | Add reranking to your pipeline to improve search results (broken out by model provider) |\n| Media Search | Use Weaviate's `nearImage` and `nearVideo` operator to search using images and videos |\n| Classification | Learn how to use KNN and zero-shot classification |\n| Multi-Tenancy | Store tenants on separate shards for complete data isolation |\n| Multi-Vector Embeddings | Use Weaviate with powerful ColBERT-style embeddings to improve search results |\n| Product Quantization | Compress vector embeddings and reduce the memory footprint using Weaviate's PQ feature |\n| Evaluation | Evaluate your search system |\n\n## Weaviate Services 🧰\n| Service | Description |\n|---------|-------------|\n| Agents | Use Weaviate's inherent agents like the `QueryAgent` \u0026 `TransformationAgent` |\n| Weaviate Embeddings | [Weaviate Embeddings](https://weaviate.io/developers/wcs/embeddings) enables you to generate embeddings directly from a [Weaviate Cloud](https://console.weaviate.cloud/) database instance. | \n\n## Feedback ❓\nPlease note this is an ongoing project, and updates will be made frequently. If you have a feature you would like to see, please create a GitHub issue or feel free to contribute one yourself!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweaviate%2Frecipes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fweaviate%2Frecipes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweaviate%2Frecipes/lists"}