Joined September 2019
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AI-Powered Search Book is Now Available on Amazon! ⏳The Wait is Over! AI-Powered Search was released today (both Print and Kindle) on Amazon! 📕 This essential guide equips you with the tools and insights to build smarter, faster, and more scalable search systems using AI and machine learning. Packed with 200 code examples, it’s the resource you’ve been waiting for. 🔗 Get your copy on Amazon: amazon.com/AI-Powered-Search… ✨ Transform how you think about search. Start your journey with AI-powered relevance today! #AIPoweredSearch #SemanticSearch #AI #BookLaunch @ManningBooks @treygrainger @softwaredoug @binarymax
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AI-Powered Search retweeted
Came back for the 2nd run of @aiPoweredSearch by @treygrainger & @softwaredoug because it remains the single best investment I've made in my professional development as a search engineer. aipoweredsearch.com/live-cou…
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AI-Powered Search retweeted
Just finished the AI-Powered Search course by @treygrainger @softwaredoug @aiPoweredSearch - excellent. Learned how to build real-world AI search systems (RAG, agentic retrieval, relevance tuning). Great for engineers building AI products. 👉 aipoweredsearch.com/live-cou…
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AI-Powered Search retweeted
I attended the AI-Powered Search course taught by @treygrainger and @softwaredoug . The course teaches how to build modern search systems. I highly recommend it if you want to build smart search systems. aipoweredsearch.com/live-cou… @aiPoweredSearch
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AI-Powered Search retweeted
I'll be a guest instructor for the July Cohort of AI Powered Search, with @softwaredoug and @treygrainger! Beyond excited to be part of this line up, and while the specific topic of my lecture will be announced next week, I can already say it won't be too *dense* eheh
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AI-Powered Search retweeted
Congratulations to @softwaredoug and @treygrainger! Their course on AI-Powered Search was highlighted in The Maven 100 list! 🔥
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AI-Powered Search retweeted
Super exciting win for Agentic Search and Late Interaction! 🧬 GPT-5 Reason-ModernColBERT (150M) reaches ~88% accuracy with an average of ~13 search calls. For reference, when BrowseComp-Plus was published in August 2025, the max accuracy reported was ~70% using GPT-5 Qwen3-Embed-8B, using ~22 search calls. Searching with reasoning 🤖💭is a beast. 🔥 This is a huge evangelist for semantic search and Late Interaction models are particularly shining thanks to their effectiveness at long input modeling with fine-grained similarity scores. 🛠️ Congratulations @antoine_chaffin and team! 🎉
BrowseComp-Plus, perhaps the hardest popular deep research task, is now solved at nearly 90%... ... and all it took was a 150M model ✨ Thrilled to announce that Reason-ModernColBERT did it again and outperform all models (including models 54× bigger) on all metrics
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AI-Powered Search retweeted
By providing LLMs with 🗺️ •metadata about the collections in the database and their schemas • values of attributes and their distributions • initial search results ... We get much better Query Understanding! This leads to more effective Search, Question Answering, Research, and other AI systems. 🚀
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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AI-Powered Search retweeted
Our second lesson starts today, and we still have late tickets!
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AI-Powered Search retweeted
This is an awesome recap of topics from @softwaredoug and my discussion last week with @CShorten30 on the @weaviatepodcast. We're also diving into these topics deeper in our @aiPoweredSearch course (late enrollment closes tomorrow: aipoweredsearch.com/live-cou…) Check out the podcast below.
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AI-Powered Search retweeted
Replying to @lateinteraction
Yeah, I know people getting crazy offers right now, and not just from the labs. We're teaching this skillset in our AI Search course to many top engineers (see company logos below). Just kicked off the second cohort (w/ late registration still available) aipoweredsearch.com/live-cou…
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AI-Powered Search retweeted
I was deep in the newborn trenches🍼as @a1zhang and @lateinteraction took the AI world by storm with RLMs and missed out a bit on these discussions, hoping to catch up! 🧩🔥 Really happy that @softwaredoug brought up RLMs in our discussion of AI-Powered Search, describing how LLMs can write code to search over their context as a Python variable. 👇
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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AI-Powered Search retweeted
3rd place on Maven - late signup available
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AI-Powered Search retweeted
#4 on Maven! Starts tomorrow
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♻️ Feedback Loops for Search ♻️ In this clip, @treygrainger explains Reflected Intelligence, a framework for thinking about how to incorporate feedback from users to improve search systems. RL for Search! 🔎 ♻️
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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AI-Powered Search retweeted
Context compaction for Agents is throwing away useful data. What if context engineering is just a search problem? 🔎 x.com/CShorten30/status/2028…
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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AI-Powered Search retweeted
Adding a Popularity Feature ✨ to Search Ranking is trickier than you may think. @softwaredoug lays out the feedback loop problem, popular results get boosted, get more clicks, get boosted further... ♻️ He then introduces two concrete solutions: (1) holdout traffic that doesn't receive the popularity treatment, and (2) active learning that finds "wide-open, gaping holes" in training data. 🧠
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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AI-Powered Search retweeted
WORMHOLE VECTORS! 🔥 In Hybrid Search, searchers such as BM25 and Vector Search run independently, produce separate result sets, and get merged... Introducing ... 🥁 ... Wormhole Vectors! 🔥 Instead of merging orthogonal results, traverse between the vector spaces. Run a lexical search, pool the matching documents' dense vectors, and search the dense space from that point. 🌀 Hybrid search runs two queries and hopes the right answer was in one of them. Wormhole vectors let you traverse between the spaces instead. 🗺️
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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AI-Powered Search retweeted
Starts in 72 hours!
AI Powered Search #7 on Maven :)
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AI-Powered Search retweeted
"Purple Mattress", is that a color or a brand? A memorable and fun example of query disambiguation in action. Search the index for "Purple Mattress", aggregate the entities in the results, and ask an LLM to classify which meaning the user intended. x.com/CShorten30/status/2028…
Hey everyone! I am super excited to publish a new episode of the Weaviate Podcast with Doug Turnbull (@softwaredoug) and Trey Grainger (@treygrainger) on AI-Powered Search! 🎉 Doug and Trey are both tenured experts in the world of search and relevance engineering. I am beyond grateful for this opportunity to host them on the Weaviate Podcast and discuss all things under the sun with AI and Search! This one is packed with information! 🧠 Covering designing search experiences, types of search, user interfaces for search, filters, the nuances of agentic search, using popularity as a feature in learning to rank... and I loved learning about their pioneering ideas on Wormhole Vectors and Reflected Intelligence! I hope you find the podcast useful! As always more than happy to discuss these things further with you!
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