| title | description |
|---|---|
Weaviate |
Weaviate is an open-source vector database that enables you to store data objects and vector embeddings from your preferred ML models. Moreover, it offers smooth scalability for handling billions of data objects. |
Weaviate is an open-source vector database that enables you to store data objects and vector embeddings from your preferred ML models. Moreover, it offers smooth scalability for handling billions of data objects.
| General | |
|---|---|
| Author | Weaviate |
| Repository | https://github.com/weaviate |
| Type | Vector Database |
Explore Weaviate resources to better understand and utilize Weaviate, the AI native vector database, effectively in your projects.
- Weaviate Documentation Comprehensive documentation for Weaviate
- Weaviate Quickstart In this quickstart guide, you'll discover how to build a vector database using Weaviate Cloud Services (WCS), import data, and conduct vector search.
- WCS - Weaviate SaaS Connect to the Weaviate Cloud Services or to a local Weaviate (Keep in mind that Weaviate can also be utilized locally with Docker).
Delve into Weaviate's similarity search to quickly and accurately identify closely related data within your vector database.
- Weaviate Similarity / Vector search Documentation Explore the documentation on executing similarity-based searches with Weaviate.
- Similarity Search Recipes Discover various similarity search recipes tailored for platforms like Cohere, OpenAI, HuggingFace, PaLM, and more.
- Generative Search - OpenAI Documentation
- Generative Search - Cohere Documentation
- Generative Search - PaLM Documentation
- Generative Search Recipes Discover various generative search recipes tailored for platforms like Cohere, OpenAI, and PaLM.