Christy Bergman

Developer Advocate

Christy Bergman is a passionate Developer Advocate at Zilliz. She previously worked in distributed computing at Anyscale and as a Specialist AI/ML Solutions Architect at AWS. Christy studied applied math, is a self-taught coder, and has published papers, including one with ACM Recsys. She enjoys hiking and bird watching.

Engineering

Setting up Milvus on Amazon EKS

This blog provides step-by-step guidance on deploying a Milvus cluster using EKS and other services.

Jul 16, 202415 min read

Engineering

Milvus Server Docker Installation and Packaging Dependencies

This post introduces key dependencies and release update frequency for deploying the Milvus server on standalone Docker.

Apr 17, 20243 min read

Engineering

Milvus Metadata Filtering: JSON and Metadata Filtering in Milvus

A brief review of how to ingest your data with JSON in your Milvus vector database

Mar 26, 20249 min read

Engineering

Building an Open Source Chatbot Using LangChain and Milvus in Under 5 Minutes

A start-to-finish tutorial for RAG retrieval and question-answering chatbot on custom documents using Milvus, LangChain, and an open-source LLM.

Nov 29, 20239 min read

Product

Demystifying the Milvus Sizing Tool

Explore how to use the Sizing Tool to select the optimal configuration for your Milvus deployment.

Apr 26, 20243 min read

Engineering

Choosing the Right Embedding Model for Your Data

This blog touched on some popular embedding models used in RAG applications.

May 22, 20246 min read

Engineering

Finding the Right Fit: Embedding Creation for AI Retrieval (RAG) in Zilliz Cloud Pipelines from OSS, VoyageAI, and OpenAI

Learn how Zilliz Cloud's support for 6 leading embedding models can improve your development of RAG apps.

Feb 27, 202412 min read

Company

Zilliz at CalHacks 2023

If you didn't catch CalHack 2023, read this recap complete with attendee and prize stats as well as overviews of winning projects.

Nov 03, 20235 min read

Engineering

Metadata Filtering with Zilliz Cloud Pipelines

A step-by-step guide on how to perform metadata filtering in fully managed Milvus using Zilliz Cloud Pipeline

Dec 17, 20235 min read