Vector Database Stories
From company news to technical tutorials – explore the most popular content on the Zilliz blog.
How to Get the Right Vector Embeddings
A comprehensive introduction to vector embeddings and how to generate them with popular open-source models.
How to Migrate Your Data to Milvus Seamlessly: A Comprehensive Guide
A comprehensive guide on migrating your data from Elasticsearch, FAISS, and older Milvus 1.x to Milvus 2.x versions.
Getting Started with GPU-Powered Milvus: Unlocking 10x Higher Performance
A practical tutorial to assist you in quickly getting started with the GPU version of Milvus and significantly boosting your vector search performance by ten times.
Using LangChain to Self-Query a Vector Database
Experiment with LangChain’s self-query feature to build a simple RAG app that combines the LLM and a vector database like Milvus.
Zilliz x Galileo: The Power of Vector Embeddings
Using vector embeddings to find data errors, find samples not present in your training data, find hallucinations, and fix errors in retrieval augmented generation.
Zilliz Makes Real-Time AI a Reality with Confluent
The Zilliz and Confluent integration opens new avenues for leveraging Generative Artificial Intelligence (GenAI) in real-time scenarios.