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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Free talk tomorrow from @dtaivpp - how can decision models help with normal relevance tuning? Sign up: maven.com/p/2eca66/can-a-dec…
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Join me and @treygrainger to hear from Yonik Seeley (@lucene_solr) at 12PM ET today on his new search engine Luxir maven.com/p/2762dc/introduci…
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AI Powered Search with me and @treygrainger tries to get you beyond that surface level RAG view of chunking + embedding to give you a comprehensive view of retrieval maven.com/search-school/ai-p…
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If you're on an AI team, and get the cursory view of RAG you're probably not going to end up in a great place.
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Excited to share Hamza Farooq as our next guest speaker for AI Powered Search! He's going to speak on MomentRAG - a great reference RAG implementation for querying videos + podcasts. Sign up here - maven.com/search-school/ai-p…
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In 45 minutes, we'll hear from @marek_galovic on Top K's latest multi-vector embedding models Sign up - maven.com/lls/3c81d4
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This series on the Future of AI Search is going to be insane! My talk is in 1hr20, so excited to be part of the line-up 🫶
Reminder that @treygrainger and I are beginning our online conference "The Future of AI Search" Lots of great names giving talks like Yonik Seeley (@lucene_solr ), @jobergum, and more Today we're hearing from @AmelieTabatta on whats going on with late interaction in 2026 maven.com/lls/3c81d4
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Huge turnout for @AmelieTabatta for Future of AI Search as she goes over Late Interaction in 2026
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Reminder that @treygrainger and I are beginning our online conference "The Future of AI Search" Lots of great names giving talks like Yonik Seeley (@lucene_solr ), @jobergum, and more Today we're hearing from @AmelieTabatta on whats going on with late interaction in 2026 maven.com/lls/3c81d4
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Replying to @treygrainger
@treygrainger and I are doing a free online search conference: Future of AI Search. Topics like Jev reranking, BM25 for agentic search, late interaction W/ great folks like @aHev, @AmelieTabatta, @jobergum, @lucene_solr, @marek_galovic Sign up here maven.com/lls/3c81d4
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🔎 Is one vector enough to capture everything that matters in search? Traditional single-vector search compresses information into a single embedding. But what happens to the context that's lost along the way? On October 19, our @AmelieTabatta , Head of Training & Inference at LightOn, will join @treygrainger and @TurnbullDoug for a technical session on Late Interaction in 2026, hosted on Maven. They'll explore: 🔹 Why token-level embeddings can improve retrieval quality 🔹 Where late interaction makes the biggest difference 🔹 How approaches like NextPlaid are making retrieval more efficient 🔹 What it takes to scale late interaction in production 📅 October 19, 2026 | 5 PM CEST 💻 Online | Free registration 👉 Join the discussion: maven.com/p/2f6bf9/beyond-si…
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I'm quite excited for this session with @AmelieTabatta and @softwaredoug on Oct 19. Late Interaction models and production engines are rapidly evolving, & Amélie & LightOn are at the frontier of what's possible. Come learn with us about the state of late interaction in 2026!
🔎 Is one vector enough to capture everything that matters in search? Traditional single-vector search compresses information into a single embedding. But what happens to the context that's lost along the way? On October 19, our @AmelieTabatta , Head of Training & Inference at LightOn, will join @treygrainger and @TurnbullDoug for a technical session on Late Interaction in 2026, hosted on Maven. They'll explore: 🔹 Why token-level embeddings can improve retrieval quality 🔹 Where late interaction makes the biggest difference 🔹 How approaches like NextPlaid are making retrieval more efficient 🔹 What it takes to scale late interaction in production 📅 October 19, 2026 | 5 PM CEST 💻 Online | Free registration 👉 Join the discussion: maven.com/p/2f6bf9/beyond-si…
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Use an LLM to generate per-query decisions for ranking. IE 'desk for kids" -> "Is this product suitable for kids?" "Is this product a height below 36 inches?"... Sum Jev the P(yes) for these decisions to rerank It works! softwaredoug.com/blog/2026/1…
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The pitch: one embedding must compress all before it knows your query. Late interaction keeps a vector per token (or patch) & matches late: strong on code, visual docs, long context & out-of-domain 👀 Cost was the catch, but is it still in 2026? maven.com/p/2f6bf9/beyond-si…
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In July I gave a lecture on late interaction to the AI-Powered Search cohort, then released the slides. Lots of fun teaching where it shines & why it's more than a neat research idea in 2026 🫶 Now @treygrainger & @softwaredoug invited me back for a free 1h lightning version!
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Better ranking only gets you so far if you haven't understood the query. At Haystack EU on Sept. 16th, @treygrainger will show how late interaction and Wormhole Vectors can improve query understanding and how they benchmark against popular hybrid search techniques. Talk info: hubs.la/Q04xtHB-0 Can't make it? AI-Powered Search is 45% off with code HaystackEU through Sept. 30th: hubs.la/Q04xtHGr0
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