Why, When and How to Fine-Tune a Custom Embedding Model
Key consideration for customizing an embedding model through fine-tuning it on company- or domain-specific data to improve the downstream retrieval performance in RAG applications.
concepts
How To
Build enterprise workflows with Langchain and Weaviate v3
LangChain and Weaviate v3 power scalable AI with fast, type-safe RAG workflows, practical code, and future-ready features like LLM eval and event-driven design.
Agents
AI Agent Workflow Automation with n8n and Weaviate
You can now use Weaviate with n8n for no-code agentic workflows. This article teaches you how.
Engineering, Release
Weaviate 1.32 Release
1.32 adds collection aliases for no-downtime collection migrations, efficient & powerful rotational quantization (RQ), GA replica movement, memory reduction with compressed HNSW connections and more!
partnerships, Release
Introducing the New Weaviate Confluent Apache Kafka® Connector: Real-Time Vector Data Pipelines Made Easy
Learn about the new certified Weaviate Confluent Apache Kafka Connector!
concepts, Engineering, How To
Latency and Weaviate: Choosing the Right Region for your Vector Database
Design for speed, build for experience.
Agents, How To, Search
Introducing Glowe: Agent-Powered Korean Skincare Routines
Glowe is a Korean beauty recommendation app that uses domain knowledge agents, custom embedding strategies, and vector search to create personalized skincare routines. Try now: https://www.glowe.app/
Uncategorised
How We Are Building the Core of the AI-Native Stack
How Weaviate’s day zero, day one, day two mindset helps developers build AI-native applications.
community
How Constella Uses Weaviate for Vector Search (RAG) and Cross-Platform Syncing across Devices for Consumer Apps
How we built cross-platform vector search and syncing for a thinking tool using Weaviate, RAG, and multi-tenant architecture.
Announcement
Secure AI for Healthcare: HIPAA-compliant vector search with Weaviate
Announcing Weaviate Enterprise Cloud new HIPAA compliance on AWS, enabling secure PHI storage, search, and vector-powered AI for healthcare workloads.