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Weaviate Newsletter - Cross-encoders, GOMEMLIMIT and BetterFeedback integrates Weaviate

SeMI Technologies
SeMI Technologies
Hiiiiii Weaviate Friends!!!
There has been a lot going on in the last few weeks. We have a few exciting blogs, podcasts and stories to share with you.
Our very own Laura Ham has been researching: how we could combine the power of cross-encoders and bi-encoders to get more accurate results without sacrificing performance.
  • What cross-encoders and bi-encoders are
  • How to combine them
  • Pre-trained cross-encoders
GOMEMLIMIT – a game changer for high-memory applications
The Go team have released GOMEMLIMT – an exciting feature that we particularly feel very excited about. It allows us to better control the garbage collection process, and avoid the rare out-of-memory application crashes.
✍️ Read GOMEMLIMIT is a game changer for high-memory applications - by Etienne Dilocker – to learn about:
  • The memory allocation process in Go
  • The Garbage Collector
  • Scenarios that could result in OOM
  • How GOMEMLIMIT helps
  • The results of our experiments
If you find this interesting, join us in the conversation on Reddit.
Integration story - BetterFeedback
We’ve been collaborating with our friends at, who in their quest to give their customers a better analytics experience, decided to join the Semantic Search movement. But don’t take my word for it:
✍️ Read The Full Power of Semantic Search and Vector Database - by Rafał Muszyński - to learn about their motivations and why Weaviate was their pick.
Weaviate helps 🚀NASA‘s GES-DISC team
We are very excited to see Weaviate in a presentation by NASA’s GES-DISC team.
👀 See GES-DISC Graph-Enabled Vector Search - where they show how they are using language embeddings and graph-enabled vector search (Weaviate) to improve their search capabilities.
Last week, Connor met with Yaoshiang Ho – a Co-Founder of Masterful AI.
🎙Watch Weaviate Podcast #22 – to learn more about:
  • cutting edge Computer Vision algorithms such as Noisy Student, SimCLR, and Barlow Twins
  • broader topic of Semi-Supervised Learning
We had an update to the Multi2Vec CLIP inference module, now on version 1.1.4 (notes)
  • Fix unserializable values in /meta endpoint

Bob van Luijt
😍 Often, I use the 🚀 emoji to visualize how things are going with @weaviate_io and vector search. But seeing this slide (link below) in the deck "GES-DISC Graph-Enabled Vector Search" by @NASA's GES-DISC team, I feel this emoji has never been more appropriate 🙏
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SeMI Technologies
SeMI Technologies @weaviate_io

SeMI Technologies is the company behind the Weaviate vector search engine

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