12 Must-Have Resources for Mastering Milvus - Your Gateway to Seamless Vector Workloads
Tags: opensource, vectordatabase, tutorial, ai
Published: 2024-01-13 00:05:11

Embark on your Milvus Adventures: 12 Essential Resources for Seamless Vector Workloads - Your Weekly Guide (Jan 12, 2024)

##COMMUNITY ٩(＾◡＾)۶
Our first meetup of 2024 is coming up in San Francisco (Github) and Seattle (Microsoft Reactor) on Jan 16, 2024. Please register early because they fill up fast! 
<img width="50%" style="width:50%" src="https://media.giphy.com/media/8VXCbjpli8Zm5ssJdJ/giphy.gif">
###San Francisco [registration](https://lu.ma/vq31dazy) 

* Christy Bergman, Developer Advocate, Zilliz, 
​**Vector Search in the Age of OpenAI Assistants using Milvus**
* George Williams, Organizer, [Big-ANN NeurIPS 2023](https://big-ann-benchmarks.com/neurips23.html), 
**Are CPUs Enough? A Review Of Vector Search Running On Novel Hardware**
* Alexy Khrabrov, OSS Community Director, IBM and Chair, Generative AI Commons at the Linux Foundation, 
**Introducing the Alliance.ai for Responsible, Safe AI**

###Seattle [registration](https://www.meetup.com/aittg-seattle/events/297924950/) 

* Beyond RAG: Vector Databases - Yujian Tang
* Exploring LLMOps: Building Better AI Applications - Sage Elliott
* Elevating User Experience with Image-Based Fashion Recommendations - Joan Kusuma
	 


##ARTICLES To check out ໒(＾ᴥ＾)७
**RAG**

* [Build AI Apps with Retrieval Augmented Generation (RAG)](https://zilliz.com/learn/Retrieval-Augmented-Generation)
* [Dissecting OpenAI's Built-in Retrieval: Unveiling Storage Constraints, Performance Gaps, and Cost Concerns](https://zilliz.com/blog/dissecting-openai-built-in-retrieval-storage-constraints-performance-gaps-cost-concerns)

**Vector Search & NLP**

* [Sentence Transformers for Long-Form Text](https://zilliz.com/learn/Sentence-Transformers-for-Long-Form-Text)
* [Understanding Consistency Models for Vector Databases](https://zilliz.com/blog/understand-consistency-models-for-vector-databases)


##TUTORIALS ٩(◕‿◕｡)۶
**Getting Started with a Milvus Connection**
Milvus has four SDKs: Go, Java, Python, React, and Ruby. In this [blog](https://zilliz.com/blog/getting-started-with-a-milvus-connection), we’ll show steps for Python.

**Building an Open Source Chatbot Using LangChain and Milvus in Under 5 Minutes**
This [tutorial](https://zilliz.com/blog/building-open-source-chatbot-using-milvus-and-langchain-in-5-minutes) uses a completely open-source RAG (Retrieval Augmented Generation) stack with LangChain to answer questions about Milvus using our product documentation web pages.

**Metadata Filtering with Zilliz Cloud Pipelines**
This [tutorial](https://zilliz.com/blog/metadata-filtering-with-zilliz-cloud-pipelines) discuss scalar or metadata filtering and how you can perform metadata filtering in Zilliz Cloud. This blog continues on the previous blog on [Getting started with RAG in just 5 minutes](https://zilliz.com/blog/building-open-source-chatbot-using-milvus-and-langchain-in-5-minutes). You can find its code in this [notebook](https://github.com/milvus-io/bootcamp/blob/master/bootcamp/RAG/readthedocs_zilliz_langchain.ipynb) and scroll down to Cell #27.


##VIDEOS (＾▽＾)

* [Vector Database 101: A Crash Course](https://www.youtube.com/watch?v=6yLmbL1o3Ow)
* [Effective RAG: Generate and Evaluate High-Quality Content for Your LLMs](https://www.youtube.com/watch?v=7dcfB8nXmds)
* [RAG Evals: Statistical Analysis of Retrieval Strategies with Arize](https://www.youtube.com/watch?v=fdDaR9XkMKo)


##GITHUB REPOS ᕙ(‾̀◡‾́)ᕗ
We love stars so give us one on our repo!

<img width="50%" style="width:50%" src="https://media.giphy.com/media/jrdgDVFrcgJpNlonWO/giphy.gif">

**[Milvus Vector Database](https://github.com/milvus-io/milvus)**. Milvus is an open source vector database used to store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models.

**[Akcio](https://github.com/zilliztech/akcio): Enhancing LLM-Powered ChatBot with CVP Stack** A full chatbot app all open-source for you to try out for your self!


**[GPT Cache.](https://github.com/zilliztech/GPTCache)** GPTCache is an open-source tool designed to improve the efficiency and speed of GPT-based applications by implementing a cache to store the responses generated by language models.

**[VectorDBBench](https://github.com/zilliztech/VectorDBBench)**. VectorDBBench is an open-source benchmarking tool to help you evaluate the performance of mainstream vector databases and cloud services with yoru specific use case.