seatunnel VS Milvus

Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.

looks that way. there is an other project that does similar things Apache SeaTunnel: https://seatunnel.apache.org/

https://seatunnel.apache.org/ Might be an overkill though...

See the specific Change log: https://github.com/apache/incubator-seatunnel/releases/tag/2.3.0

Apache SeaTunnel (Incubating) SeaTunnel is a very easy-to-use ultra-high-performance distributed data integration platform that supports real-time synchronization of massive data. It can synchronize tens of billions of data stably and efficiently every day, and has been used in the production of nearly 100 companies. Official website https://seatunnel.apache.org/ GitHub projects https://github.com/apache/incubator-seatunnel

Milvus open source vector database

If you saw my recent newsletter you can see I joined Zilliz to work on the Open Source AI Database, Milvus.

🎥 Playlist: Unstructured Data Meetup https://www.meetup.com/unstructured-data-bay-area/events/ 🖥️ Website: https://www.youtube.com/@MilvusVectorDatabase/videos X Twitter - / milvusio https://x.com/milvusio 🔗 Linkedin: / zilliz https://www.linkedin.com/company/zilliz/ 😺 GitHub: https://github.com/milvus-io/milvus 🦾 Invitation to join discord: / discord https://discord.com/invite/FjCMmaJng6

Legal practitioners often need to find specific cases and clauses across thousands of dense documents. While traditional keyword-based search techniques are useful, they fail to fully capture semantic content of queries and case files. Vector search engines and large language models provide an intriguing alternative. In this talk, I will show you how to build a legal search application using the DSPy framework and the Milvus vector search engine.

Zilliz (zilliz.com) | Hybrid/ONSITE (SF, NYC) | Full-time

I am part of the hiring team for DevRel

NYC - https://boards.greenhouse.io/zilliz/jobs/4307910005

SF - https://boards.greenhouse.io/zilliz/jobs/4317590005

Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most starred vector database on GitHub. Milvus is a distributed vector database that shines in 1B+ vector use cases. Examples include autonomous driving, e-commerce, and drug discovery. (and, of course, RAG)

We are also hiring for other roles that I am not personally involved in the hiring process for such as product managers, software engineers, and recruiters.

Get started with Milvus on GitHub.

Milvus: An open-source vector database designed for AI and ML applications. It excels in handling large-scale vector similarity searches, making it suitable for recommendation systems, image and video retrieval, and natural language processing tasks.

Selecting the right version of open-source Milvus is important to the success of any project leveraging vector search technology. With Milvus offering different versions of its vector database tailored to varying requirements, understanding the significance of selecting the correct version is key for achieving desired outcomes.