Jiang Chen

Head of Ecosystem and Developer Relations

Jiang is currently Head of Ecosystem and Developer Relations at Zilliz. He has years of experience in data infrastructures and cloud security. Before joining Zilliz, he had previously served as a tech lead and product manager at Google, where he led the development of web-scale semantic understanding and search indexing that powers innovative search products such as short video search. He has extensive industry experience handling massive unstructured data and multimedia content retrieval. He has also worked on cloud authorization systems and research on data privacy technologies. Jiang holds a Master's degree in Computer Science from the University of Michigan.

Engineering

Zilliz Cloud Pipelines February Release - 3rd Party Embedding Models and Usability Improvements!

The latest updates to Zilliz Cloud Pipelines in February focuses on new embedding models and ease of use.

Feb 09, 20244 min read

Engineering

Crafting Superior RAG for Code-Intensive Texts with Zilliz Cloud Pipelines and Voyage AI

We are thrilled to announce that embedding models from Voyage AI are available in Zilliz Cloud Pipelines.

Feb 07, 20243 min read

Engineering

Elasticsearch Was Great, But Vector Databases Are the Future

Purpose-built vector databases outperform dual-system setups by unifying Sparse-BM25 and semantic search in a single, efficient implementation.

Dec 02, 20245 min read

Company

Jiang Chen: Why I Joined Zilliz

I am passionate about democratizing AI-native infrastructures and enjoying working with awesome people here at Zilliz.

Oct 16, 20234 min read

Engineering

The Landscape of GenAI Ecosystem: Beyond LLMs and Vector Databases

Initially, Large Language Models (LLMs) and vector databases captured the most attention. However, the GenAI ecosystem is much broader and more complex than just these two components.

Aug 09, 202410 min read

Engineering

Tame High-Cardinality Categorical Data in Agentic SQL Generation with VectorDBs

This article explores how integrating vector databases with agentic text-to-SQL systems can address High-Cardinality Categorical Data problems.

Sep 16, 20248 min read

Engineering

Unlock AI-powered search with Fivetran and Milvus

Fivetran supports the Milvus vector database as a destination, making it easier to onboard every data source for RAG and AI-powered search.

Sep 23, 20244 min read

Product

Safe RAG with HydroX AI and Zilliz: PII Masking for Responsible GenAI

Organizations can ensure privacy at every layer of their data pipeline by anonymizing or masking PII using the PII Marker before data reaches the vector database.

Nov 07, 20243 min read

Product

Introducing the Databricks Connector, a Well-Lit Solution to Streamline Unstructured Data Migration and Transformation

The latest release of Zilliz Cloud introduces a Databricks Connector, a well-lit solution to streamline this process by integrating Apache Spark/Databricks and Milvus/Zilliz Cloud.

Feb 08, 20245 min read