Weaviate Newsletter - Preparation for the next release

December 14, 2022

Hello Weaviate friends, 🤗

I am happy to see you here, as we have much to share. 😊

Weaviate 1.17

We are just finalising the last bits for the release of Weaviate v1.17 – we should go live next week. 🤞

In the next release, you can look forward to the following:

  • Replication

  • Hybrid Search

  • BM25 Search

  • Faster Startup

  • Bug fixes and improvements

But I don't want to spoil anything, as we will share more once it is ready.

Best of Weaviate

We are all counting the days until the end of the year. Looking back, we've achieved a lot, and we couldn't have done it without you. So, thank you for being part of our amazing community. 🤗

To celebrate 2022, we will use the next 12 days to post some of our favourite content from this year. 👉 Starting Today

Weaviate Air

🎥 Last week, we hosted Weaviate Air - Episode #3, where we covered many topics:

Next episode 📅

Usually, we aim to host Weaviate Air on the first Wednesday of the month. However, I have a feeling that we will need a bit more time to prepare for the opening of the 2023 season. 😉

So, the next episode is scheduled for the 11th of January.

Subscribe 👇

To make it easier to remember and join us for the next episode, you can:

Content

Blog

✍️ Read Vector Library versus Vector Database by Erika Cardenas – to learn how Vector Libraries differ from Vector Databases.

✍️ Read The Sphere Dataset in Weaviate by Zain Hasan – to learn about the Sphere dataset and how to import and query it in Weaviate.

✍️ Cohere Multilingual ML Models with Weaviate by Sebastian Witalec (yours truly) – to learn about the Multilingual Large Language Model by Cohere and the new Weaviate module for Cohere's LLMs.

Podcasts

🎙 The Future of Search – this podcast features visionaries and builders – SeMI Technologies CEO Bob van Luijt and FAQx Co-founders Chris Dossman and Marco Bianco – at the cutting edge of Search technology, discussing how recent advances in the space will change the way we use Search Engines!

Thank you

Thank you for your time.

See you next week,

Sebastian