Very proud to see Transformers Interpret hit 1k stars today with over 200,000 downloads. Maintaining a library has been one of the hardest and most rewarding things I've done. Looking forward to adding some very cool new explainers **cough** Seq2Seq LLM's models very soon 👀

I've been learning about agent memory for the past few weeks. This new blog summarizes everything I've learned so far: • What is agent memory, and why do you need it • What are the types of memory (and what categorization approaches are there?) • How do you manage memory in

I am SUPER EXCITED to publish the 130th episode of the Weaviate Podcast featuring Xiaoqiang Lin (@xiaoqiang_98), the lead author of REFRAG from Meta Superintelligence Labs! 🎙️🎉 Traditional RAG systems use vectors to retrieve relevant context, but then throw away the vectors,

As a quick TLDR, there are two key aspects to understanding how REFRAG works: 1. The particular way REFRAG represents context tokens and injects them into LLM decoding, as well as how this speeds up LLM inference. ⚡️ 2. The training algorithm used to align the encoder,

We benchmarked the Query Agent’s Search Mode vs. Hybrid Search across 12 IR benchmarks from BEIR, LoTTe, BRIGHT, EnronQA, and WixQA. The results? +17% average improvement in Success @ 1 and +11% in Recall @ 5! Learn more about the benchmarks and dive into our experimental

I just finished reading @weaviate_io new blog on Search Mode benchmarks , and it’s a real milestone for the vector search + LLM community. Search Mode is Weaviate’s new compound retrieval system , basically a smarter way of doing search that goes beyond “hybrid” (keyword +

I am SUPER excited to share our new Information Retrieval benchmarks! 🥳 Search Mode is a Compound Retrieval System that utilizes Query Expansion, Query Decomposition, Reranking, and more to achieve super accurate search results! 🎯 The blog post demonstrates how it performs

I am SUPER excited to publish the 128th episode of the Weaviate Podcast featuring Charles Pierse (@cdpierse)! 🎙️🎉 Charles has lead the development behind the GA release of Weaviate's Query Agent! 🔎 The podcast explores the 6 month journey from alpha release to GA! Starting

We've been heads down the past few month getting the Query Agent ready for graduation to GA 🎓 Super proud of all the work from the team at @weaviate_io that has gone into getting it to where it is today. If you want to supercharge your retrieval or build a complex chatbot on

We’re excited to announce: The Weaviate Query Agent is now GA! WQA is a Weaviate-native agent that transforms natural language questions into precise database operations, giving you reliable, fully transparent results. It supports: • Dynamic filters • Smart routing across

We just released an open source framework that sets up agentic search and RAG in a full web UI on your own data in just two terminal commands. Meet Elysia - a decision tree based agentic system that dynamically displays data, learns from user feedback, and chunks documents

Ever watched a loading spinner for 10+ seconds waiting for your LLM to respond? 😅 Your users have too - and they're probably not happy about it. Even the most powerful AI applications can feel sluggish when users have to wait for complete responses to be generated. But what if

💚 Our partnership with AWS (@awscloud) just keeps getting better and better! 💡 We're turbocharging generative AI together — more speed, scale, and DX for devs worldwide! 👉 learn more: https://t.co/oDUlhjukXl 🙏 Thanks all for the amazing collaboration

Could not agree more!

Box is working to integrate across the entire AI dev stack. Looking forward to partnering with Weaviate to help customers build AI experiences faster.

One of my favorite things about the Transformation Agent we just launched at @weaviate_io is that I don't know everything it can be used for - and I think that's where its strength lies because there's so many use cases it can enable. I love this example from @CShorten30

1/12 Learn about the Weaviate Transformation Agent, which is changing data management! It eliminates tedious database tasks. Public preview available for Weaviate Serverless Cloud users. Blog post here: https://t.co/eefaxe2ckX @weaviate_io via @xcomposer_co ⬇️

nice work @CShorten30, @cdpierse, and team! excited to support this with @modal_labs compute

📢 Another week, another agent from @weaviate_io - meet the Transformation Agent, and it's a cool one. With the Transformation Agent you can turn what begins as a messy, unstructured dataset into a collection full of rich properties, all instantly searchable and filterable,

Today's vibe coding updates 🤡 - Switched from Claude Code to using Cursor for cost reasons. CC was getting out of hand. Still using claude-3.7-sonnet, so I don't feel much of a difference in quality, but capped at $20/m now. - So far the most valuable system prompt for me has