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- 8-bit Rotational Quantization, Guardrails for Enterprise Workflows, and Elysia: Open-Source Agentic RAG
8-bit Rotational Quantization, Guardrails for Enterprise Workflows, and Elysia: Open-Source Agentic RAG
Hello Weaviate Community! π
This week, weβre dialing things up with cutting-edge compression, safer AI, and next-gen RAG frameworks.
With Weaviate version 1.32
you can now use 8-bit Rotational Quantization to enable 4x vector compression while actually improving speed and quality.
Explore how to implement guardrails and evals in high-stakes enterprise workflows, and learn more about Elysia, our open-source framework for building transparent, agentic RAG systems.
Latest AI & tech insights
Explore our recent Weaviate content:
Read
π 8-bit Rotational Quantization (RQ): Compress your vectors by 4x while simultaneously improving speed AND quality. Learn how
π¦ Evals and Guardrails in Enterprise workflows: Learn how to deploy compliant, risk-aware AI agents in mission-critical financial workflows with this engineering playbook for safe, production-ready systems. Read the blog
π Elysia: Building an end-to-end agentic RAG app: Meet Elysia - our open-source agentic RAG framework that goes beyond text-in, text-out AI to deliver dynamic, transparent, and personalized data interaction. Read the blog
Watch
π½οΈ Agentic RAG: An End-to-End Open Source Framework: Elysia is Weaviate's new open source, agentic RAG framework that represents a fundamental rethink of how we interact with our data through AI. Watch the video
π· Chunking for beginners: 3 simple techniques in RAG systems: In this video, Femke breaks down simple chunking methods - token, sentence, and document-based. Watch the video
πΉ DSPy GEPA Example: Listwise Reranker: Explore how to use DSPy's GEPA optimizer to train a Listwise Reranker. Watch the video
π§ Tune into the Weaviate podcast on YouTube, Spotify, or Apple Podcasts.
Product highlights
Check out our latest product updates. Or follow along in the #announcement channel in the Weaviate Community Slack.
π Rotational quantization (RQ): Significantly reduce the memory footprint of vectors, while only having negligible impact on the quality of similarity search. Try it now
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Learn hands-on how vector databases help you to build AI-native applications with ease.
π Intro to building AI-native applications with Weaviate | September 4. Register here
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Weaviate is open source β‘οΈ Check our GitHub and star us while you're there. β
See you in two weeks,
Kamil