Weaviate on Vertex AI RAG Engine: Building RAG Applications on Google Cloud
Learn how to build RAG Applications on Google Cloud using the new RAG Engine on Vertex AI!
How To, integrations, partnerships
Agents, How To, JavaScript
Building Agentic Workflows with Inngest
Automate your RAG pipelines and dive into Workflow Driven Agentic Applications that leverage Inngest and Weaviate.
Uncategorised
Recap: London Roadshow
The Weaviate team was in London last month, where the presentations were packed with insights from the field, real-world use cases, and inspiration for what’s next in AI. From streamlining development to tackling challenges in nuclear energy, here’s a recap of the standout moments.
How To
Hardening your Weaviate OSS Installation
Moving your Weaviate OSS instance into production? Check out our handy guide to securing your Weaviate database in the cloud, including all the helpful modules we’ve added to make it as easy as possible to keep your vectors safe.
Engineering, Release
Weaviate 1.28 Release
Read about a preview of role-based access control, improved indexing, Weaviate Embeddings, new Voyage Multimodal model and a Japanese BM25 tokenizer!
community
Unbody’s Approach to Expanding Weaviate’s Generative Capabilities
Unbody has enhanced Weaviate’s generative capabilities by developing a custom Generative API that addresses limitations such as static project configurations, limited RAG syntax, and text-only input restrictions.
Release
Introducing Weaviate Embeddings
Say goodbye to the headaches of creating and managing vector embeddings.
partnerships
Weaviate on AWS: Our Journey as an AWS GenAI Startup
Learn about the partnership between AWS and Weaviate.
concepts
Vector Search Explained
Learn about vector search, a technique that uses mathematical representations of data to find similar items in large data sets.