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Chatting autoresearch for rankers at #haystackconf
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At #haystackconf today talking about AutoReSEARCH - using autoresearch to improve search ranking code
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Broken search? Where do you even start? Here's my 5 Simple Steps to Fix Your Search - a lightning talk from Haystack Europe a couple of weeks ago. With juggling, naturally! #haystackconf youtube.com/watch?v=GFhfwIy_…

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24 Sep 2025
Amazing response to #womenOfSearch talk on #AIAgents at #haystackconf EU 2025 along with lovely @AngeleyMullins and @olena_gorbatiuk ! 🙌🫶
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26 Jun 2025
Just back from #HaystackUS 2025 and the future of search is 🔥 From lexical resurgence to LLM-first architectures, here’s what we learned at #Haystackconf—and how you can apply it to build better, more scalable search. Dive into the key insights via Algolia's @chuckm: bit.ly/4lLkTMT
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21 Apr 2025
Team Algolia is excited to be at #HaystackConf this week! 🔍✨ Looking forward to learning from the community and exploring the latest advances in query understanding and RAG with #AIsearch. Let’s connect! #RAG #SearchTech
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Get early access to the rest of the talk videos from #HaystackConf EU - including our great lightning talks - by joining the @aiPoweredSearch community! community.aipoweredsearch.co…

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Great talk from @macavaney at #HaystackConf youtube.com/watch?v=e9Yh7IAX… Initializing vector index traversal given a cheap set of lexical search results makes sense. But also using that technique to gather better reranking docs?!? 🤌🧑‍🍳
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If you couldn't make it to Haystack Europe, but you'd like to get early access to the talk videos, head over to the @aiPoweredSearch Community community.aipoweredsearch.co… #HaystackConf

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I've done a lightning talk in the #haystackconf 🥳 Sharing the notebook I've been presenting (link below).
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Actually the event is nothing to do with deepset's HaystackAI ! We use the tag #HaystackConf
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2 Oct 2024
Stephen at the #HaystackConf in Berlin, check it out! 👇 #Milvus #Vectordatabase #DevRel
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I said I’d talk about Vector Search at Scale, so I did a demo on 500M vectors using @milvusio running on @zilliz_universe 🚀
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My deck from #HaystackConf is now available! What You See Is What You Search: Vision Language Models for PDF Retrieval ColPali, a newly proposed retrieval model, presents a more efficient alternative using Vision Language Models (VLMs) to embed entire PDF pages, including text, figures, and charts. The resulting contextualized multi-vector representations of the PDF page improve retrieval quality while simplifying the extraction and indexing process. docs.google.com/presentation…
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Our final talk comes from Robertson Taylor of @marqo_ai on how to train models for production vector search #haystackconf - lightning talks to follow!
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First up after lunch on day 2 of #HaystackConf is Pallavi Patil of @Yelp on LLM powered annotations
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Gregor and Alexandra from @knowunity telling us about their mission to change education at #HaystackConf
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Stephen Batifol of Zilliz casually demonstrating a collection of 500m vectors at #HaystackConf
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The traditional #WomenOfSearch photo at #haystackconf - join the group in Relevance Slack opensourceconnections.com/sl…
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