Reposted by QdrantDoug Turnbull @softwaredoug.bsky.social · 22/09/2026Next up in Retrieval Augmented Gathering This afternoon (1PM ET) we'll hear from Kumar Shivendu of @qdrant.bsky.social on doing neural search with no query-time inference 111
Reposted by QdrantBerlin Buzzwords @berlinbuzzwords.de · 20/05/2026We’re pleased to announce that Qdrant is joining #bbuzz26 as a Gold Partner! 👏🏻 Learn more about Qdrant here: qdrant.tech/ And don't forget to secure your tickets: 2026.berlinbuzzwords... 021
Qdrant @qdrant.bsky.social · 14/01/2026Read here to see how Flipkart’s Trust & Safety team built real-time multimodal similarity search with Qdrant Link: qdrant.tech/blog/case-st... 000
Reposted by QdrantTigris Data @tigrisdata.com · 06/01/2026Chunking is a primary control knob for RAG quality. Compare chunking strategies using a reproducible pipeline: • @qdrant.bsky.social for per-experiment indexing and retrieval diffs • Tigris (Forked Buckets) for dataset versioning • CrewAI to orchestrate ingest → chunk → embed → evaluate Code 👇 111
Qdrant @qdrant.bsky.social · 07/01/2026Voice AI on live calls, powered by real-time retrieval. Community member Henryk Brzozowski built a demo where a dealership’s inventory is indexed in Qdrant - enabling sub-second answers like “Any Fords under $30k?” on live phone calls. RAG + voice. Real inventory. In production. 020
Qdrant @qdrant.bsky.social · 15/12/2025𝐏𝐫𝐨𝐮𝐝 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐰𝐨𝐧 𝐭𝐡𝐞 𝐈𝐧𝐟𝐨𝐖𝐨𝐫𝐥𝐝 𝐚𝐰𝐚𝐫𝐝 🥇 More info here: www.infoworld.com/article/4104...infoworld.comInfoWorld’s 2025 Technology of the Year Award winnersThe InfoWorld Technology of the Year Awards recognize the year’s best and most innovative products in AI, cloud, data analytics, devops, and software development. 000
Qdrant @qdrant.bsky.social · 15/12/2025⏰ Reminder: Qdrant Office Hours - in 2 days! 🗓️ 18th December ⏰ 9:30 PM IST | 9:00 AM PST | 5:00 PM CET Speakers: - Kumar Shivendu - Qdrant v1.16 update - Clelia Astra Bertelli - StudyLlama updates Link to the event: discord.com/events/90756... #Qdrant #VectorSearch #Discord #AIInfrastructure #LLM 000
Qdrant @qdrant.bsky.social · 14/12/2025Team LumiereAI won 1st place overall + Best Use of Qdrant at the Pioneers AI Lab Hackathon (STATION F, 106 teams). Their project uses Qdrant Hybrid Search to detect insurance fraud - fast, auditable, and production-ready. Demo here: www.youtube.com/watch?v=1-_p...youtube.comHackathon -Pioneers AIYouTube video by Achraf E 000
Qdrant @qdrant.bsky.social · 12/12/2025Get started on the Qdrant Essentials Course and get your Qdrant Certification here: qdrant.tech/course/essen... What would do want to see in an Qdrant Course? Let us know in the comments! 010
Qdrant @qdrant.bsky.social · 11/12/2025Qdrant’s ACORN fixes the “zero results” problem in filtered vector search. Smarter second-hop exploration = higher recall under strict filters. Shared by our star NiranjanAkella 🔥 Link: blog.stackademic.com/zero-results... 010
Qdrant @qdrant.bsky.social · 07/12/2025𝐊𝐲𝐥𝐢𝐞 - 𝐚 𝐦𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 Spotted this cool project by Jonathan Mukhobe Sr. Kylie handles text, images, voice, tasks, search, and more - built with LangGraph + Groq. 🧠 Powered by Qdrant + MiniLM for long-term memory. Check it out: github.com/jonathanmuk/... 000
Qdrant @qdrant.bsky.social · 02/12/2025Multimodal Fashion Search with Qdrant + ScrapeGraphAI 👗⚡️ Francesco Zuppichini and our Head of DevRel Neil Kanungo just shared a slick walkthrough on building a multimodal clothing search engine using ScrapeGraphAI + CLIP + Qdrant. Full demo + write-up: 🔗 scrapegraphai.com/blog/scrapin... 010
Qdrant @qdrant.bsky.social · 27/11/2025Vector search is booming - and it’s powering accurate RAG and smarter AI apps. SE Radio’s new episode with Kacper Łukawski breaks down: ⚡ When to use embeddings ⚡ Real-world architectures ⚡ Lessons from scaling search ⚡ Why teams choose Qdrant 🎧 Listen: se-radio.net/2025/10/se-r... 020
Qdrant @qdrant.bsky.social · 23/11/2025Loved this project by M K Pavan Kumar - an AI-driven load-testing agent that runs tests, interprets results, and recalls past runs using Qdrant as its vector memory. A clean example of how semantic search can level up performance engineering. Read: 👉 towardsdev.com/designing-a-... 010
Qdrant @qdrant.bsky.social · 21/11/2025Cosmos built an editorial-grade visual search engine on Qdrant Cloud - blending text, color, and hybrid queries in under 500 ms. Art meets engineering. 🔗 qdrant.tech/blog/case-st... 020
Qdrant @qdrant.bsky.social · 19/11/2025Qdrant 1.16 is out! 🎉 It brings tiered multitenancy, smarter filtered search with ACORN, faster disk-based HNSW via inline storage, better full-text search, safer conditional updates, and a refreshed Web UI. Read the full release overview to dive deeper: github.com/qdrant/qdran... 120
Qdrant @qdrant.bsky.social · 16/11/2025Building multimodal search with Qdrant 👇 Rithvik B shows how CLIP + Whisper + Qdrant enable unified retrieval across text, image & audio in a single system. A powerful example of AI-native search: one query, all modalities. Read more: medium.com/@rithvikbng/...medium.comBuilding a Multimodal Fusion Search Engine with Qdrant, CLIP & Whisper: Text, Image, and Audio in…Search beyond words. Imagine describing an image, humming a tune, or typing a phrase and instantly retrieving relevant visuals, sounds, or… 020
Qdrant @qdrant.bsky.social · 14/11/2025Xaver used a two-tier AI engine on Qdrant to cut latency by 2–3 seconds and deliver sub-second answers - letting their team focus on better advisory experiences, not infra. Full story: qdrant.tech/blog/case-st... 010
Qdrant @qdrant.bsky.social · 13/11/2025An AI HR Assistant that finds the perfect opportunities from “Python dev (FinTech)” to “AI intern.” 🌌 Built by Chetan Kumar using Next.js, FastAPI, LangChain, OpenAI & Qdrant. 🎥 Demo: www.loom.com/share/257ed8... 010
Qdrant @qdrant.bsky.social · 12/11/2025Quantization isn’t a trade-off anymore, it’s a must for scalable AI. Niranjan Akella breaks down how Qdrant’s 1.5-bit Quantization kills the Float32 tax with 24× compression, no recall loss, and sub-40 ms latency, all powered by Rust for real-time performance. Read more: qdrant.tech/documentatio... 010
Qdrant @qdrant.bsky.social · 11/11/2025Powering next-gen e-commerce recommendations with hybrid sparse + dense vectors in Qdrant Sayanteka Chakraborty shares how combining keyword + semantic search boosted relevance and speed ⚡ 3× faster recs 📈 30–40% higher engagement Hybrid search = smarter personalization Read more: t.co/dlVzDhdc1o 010
Qdrant @qdrant.bsky.social · 09/11/2025🚀 Migration win! Harsh Chandekar (Gen AI Consultant, EY) shared how his team moved from MongoDB Atlas to Qdrant Vector Search - cutting infra costs by 80–90%, boosting speed 3×, and gaining full open-source freedom. Read more 👉 pub.towardsai.net/rearchitecti...pub.towardsai.netRearchitecting Vector Search: A Migration from MongoDB Atlas to QdrantA complete guide to transition from Traditional MongoDB to vector first Qdrant DB 020
Qdrant @qdrant.bsky.social · 06/11/2025🧩 Community highlight: Matthieu Nicolescu built a fully self-hosted, cloud-native RAG stack using Qdrant, KServe, and Envoy AI Gateway - all on Kubernetes, no external APIs. A great blueprint for scalable, data-sovereign AI pipelines. Check here: medium.com/h7w/cloud-na... 010
Qdrant @qdrant.bsky.social · 05/11/2025Dify now integrates Qdrant into its Knowledge Pipeline - bringing: • Fast, low-latency retrieval • Hybrid keyword + semantic search • Easy setup from prototype to production A great step forward for open-source, production-ready RAG pipelines. 🔗 Read the full post here: dify.ai/blog/dify-x-... 010
Qdrant @qdrant.bsky.social · 04/11/2025🗞️ The October Qdrant Newsletter is live! 🚀 Highlights: • Launch of Qdrant Academy & “Essentials” course • New tools, tutorials & integrations • Community projects & ecosystem growth 👉 Read: try.qdrant.tech/october-news... 📩 Subscribe: qdrant.tech/subscribe #Qdrant #VectorSearch #AI #OpenSource 020
Qdrant @qdrant.bsky.social · 04/11/2025📅 Nov 12, 6 PM CET - Join Dat Daryl Ngo (Arize AI) to explore how to make Agentic RAG systems observable, accountable & self-improving with open-source tools and real-world insights. 👉 Register here: #AI #RAG #Observability #ArizeAI 040
Qdrant @qdrant.bsky.social · 02/11/2025We’ve made Siftedeu’s first-ever AI 100 - the definitive list of Europe’s rising AI startups, sponsored by Next47! 🚀 We’re proud to be part of Europe’s AI ecosystem. Read about it here: sifted.eu/intelligence...sifted.euReports | SiftedSifted Reports: trusted insight and analysis into Europe’s startup ecosystem. 000
Qdrant @qdrant.bsky.social · 02/11/2025⚡ Accelerating Incident Response with Qdrant By linking PagerDuty, Google Gemini, & Qdrant, Sohail Tahir built a system that cuts MTTR by 66% and speeds up context retrieval by 99% - all on free-tier resources. 🔗 github.com/stahir80td/i... #Qdrant #AI #VectorSearch #Opsgithub.comGitHub - stahir80td/incident-managementContribute to stahir80td/incident-management development by creating an account on GitHub. 010
Qdrant @qdrant.bsky.social · 30/10/2025Exciting news from our partner @confluent.io! Confluent’s new Streaming Agents and Real-Time Context Engine bring live context to AI agents and enterprise apps. Together, Qdrant × Confluent enable developers to build real-time, AI powered by streaming data and vector search. 👉 t.co/DurLLwYMXO 010
Qdrant @qdrant.bsky.social · 29/10/2025Qdrant joins the AI-Powered Search course as a guest lecturer! Our @mrscoopers.bsky.social will speak on “Mixing Sparse & Dense Representations” in Week 2 of Modern Retrieval for Humans and Agents by Trey Grainger and Doug Turnbull. 🔗 Details: aipoweredsearch.com/articles/ai-... 031
Qdrant @qdrant.bsky.social · 29/10/2025Production-Ready RAG System with Qdrant A new article by Rithvik K showcases how Qdrant powers multi-tenant vector storage in a production-grade RAG setup, integrating real-time PDF ingestion, streaming search, and LLM inference with LangGraph AI. Read the full article: t.co/jcaZ0KFS8cmedium.comDeploying a Production-Ready RAG on Kubernetes: Multi-Tenant Qdrant + Streaming PDF Ingestion + LLM…Retrieval-Augmented Generation (RAG) has quickly become the pillar of modern enterprise AI systems everything from intelligent document… 021
Qdrant @qdrant.bsky.social · 28/10/2025New on SE Radio 🎧 Episode 691: @kacperlukawski.bsky.social on Qdrant Vector Database, insights on how vector databases shape AI-driven applications. Listen here: se-radio.net/2025/10/se-r...se-radio.netSE Radio 691: Kacper Łukawski on Qdrant Vector Database – Software Engineering Radio 010
Reposted by QdrantTensorlake @tensorlake.ai · 23/10/2025Want to build scalable data lakes w/ Tensorlake + @qdrant.bsky.social? In the free Qdrant Essentials Course, learn how to: - Architect vector-powered data lakes - Optimize ETL pipelines - Create knowledge graphs - Integrate @langchain.bsky.social agents for natural language queries t.co/OoPZswrL7z 012
Qdrant @qdrant.bsky.social · 23/10/2025🚀 Exciting news! We’ve just launched the Qdrant Academy 🎓 Dive into interactive courses and level up your vector search skills with Qdrant. Ready to learn, contribute, and grow with us? Link to the announcement: qdrant.tech/blog/qdrant-... #Qdrant #VectorSearch #DataScience #MachineLearningqdrant.techQdrant Academy Launches with Qdrant Essentials Course - QdrantThe free, self-service, and online Qdrant Academy site has launched with its first comprehensive course, Qdrant Essentials. Read to learn more. 052
Reposted by QdrantLlamaIndex @llamaindex.bsky.social · 23/10/2025In this tutorial, @cle-does-things.bsky.social walks you through how to design, build, and deploy an anomaly detection workflow using @qdrant.bsky.social, @supabase.com, and LlamaAgents, the fastest way to take your ideas from concept to cloud. 131
Qdrant @qdrant.bsky.social · 17/10/2025🫶 Big thanks to everyone who joined Qdrant’s Discord Office Hours! Loved the energy, ideas, and stories - and special thanks to Brian, Joshua, Clelia, and Tarun for the great insights. See you next month for more tech, chats, and demos! 💬 020
Reposted by QdrantMohamed Arbi @goodnight7.bsky.social · 17/10/2025Had a great time at the Qdrant Hangout Office Hours 💚 Brian O’Grady shared scaling tips, Joshua Mo walked through RIG framework (#in-rust-we-trust), @cle-does-things.bsky.social demoed #LlamaAgents, and Tarun R Jain talked #PyCon. 252
Reposted by QdrantZicklag @zicklag.dev · 26/07/2025This is really neat. I really like the way that Qdrant focuses on simplicity and performance while still trying to combine it with the insights from heavier machine learning innovations for meaning extraction and semantic search.qdrant.techminiCOIL: on the Road to Usable Sparse Neural Retrieval - QdrantIntroducing miniCOIL, a lightweight sparse neural retriever capable of generalization. 051
Qdrant @qdrant.bsky.social · 10/07/2025An open source engineer from @llamaindex.bsky.social shares trial-and-error-learned lessons. For anyone implementing textual RAG, check the blog by @cle-does-things.bsky.social! ✅ useful tips, from chunking to evals-related; ✅ projects applying each tip in the wild. 👉 qdrant.tech/blog/hitchhi... 040
Qdrant @qdrant.bsky.social · 10/06/2025Free 10-week course! Learn RAG, vector search, hybrid search, evaluation, and more. Hands-on lessons from Qdrant’s experts. Learn more 👉 qdrant.tech/blog/datatal...qdrant.techQdrant + DataTalks.Club: Free 10-Week Course on LLM Applications - QdrantGain hands-on experience with RAG, vector search, evaluation, monitoring, and more. 010
Qdrant @qdrant.bsky.social · 10/06/2025☕ Guess what? We're sponsoring the coffee breaks at @berlinbuzzwords.de 2025! 130
Reposted by QdrantEvgeniya (Jenny) Sukhodolskaya @mrscoopers.bsky.social · 09/06/2025⏰ 𝐎𝐧𝐞 𝐰𝐞𝐞𝐤 𝐭𝐢𝐥𝐥 𝐁𝐞𝐫𝐥𝐢𝐧 𝐁𝐮𝐳𝐳𝐰𝐨𝐫𝐝𝐬 I'll really try to make my talk (on the 17th at 11:10 am in Kesselhaus) fit this "𝘏𝘮𝘮𝘮𝘮, 𝘐 𝘴𝘩𝘰𝘶𝘭𝘥 𝘵𝘳𝘺 𝘵𝘩𝘪𝘴 𝘳𝘯" vibe of @berlinbuzzwords.de! To TLDR, it's about making 𝐬𝐩𝐚𝐫𝐬𝐞 𝐩𝐚𝐫𝐭 𝐢𝐧 𝐡𝐲𝐛𝐫𝐢𝐝 𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐬 as 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 as BM25, but 𝐬𝐞𝐦𝐚𝐧𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐚𝐰𝐚𝐫𝐞 (so 𝐛𝐞𝐭𝐭𝐞𝐫 than BM25) 131
Qdrant @qdrant.bsky.social · 02/06/2025🥨 Come to the Bavarian Search Meetup! The 2nd meeting of 𝐁avaria, 𝐀dvancements in 𝐒𝐞arch 𝐃evelopment meetup, co-organized by our @mrscoopers.bsky.social, is happening in #Munich on the 12th of June! 👇 120
Reposted by QdrantVisual Studio @visualstudio.com · 25/04/2025Create smart chat apps with custom data and enjoy easy setup in Visual Studio, VS Code, or CLI. Preview 2 of the .NET AI Template is here, and now it's easier than ever to build cloud-native #AI apps with #dotNETAspire and #Qdrant vector DB integration. Learn. msft.it/63326S1eg4 141
Reposted by Qdrantjuanluelguerre.bsky.social @juanluelguerre.bsky.social · 22/04/2025🚀 Build a real RAG API with .NET 8, Semantic Kernel, Phi-3, and Qdrant! 🎯 Enrich LLMs with real product data ⚙️ Local ONNX inference with Phi-3 🔥 Full API endpoints ready! Dive into the architecture 👉 wp.me/p29SK-Yu #DotNet #SemanticKernel #RAG #Qdrant #Phi3 #AI #MachineLearning #ONNXelguerre.com🚀 Building a RAG API with .NET, Semantic Kernel, Phi-3, and Qdrant: Enrich Your E-commerce ExperienceLearn how to build a powerful RAG (Retrieval-Augmented Generation) API using .NET, Microsoft Semantic Kernel, Phi-3, and Qdrant. Combine your private e-commerce data with LLMs to create smarter, gr… 011
Qdrant @qdrant.bsky.social · 14/04/2025Want to see MCP in action? Learn how to orchestrate OpenAI agents using MCP, AugmentCode, and Qdrant. 📅 April 29 @ 11 am ET 🔗 Save your spot: try.qdrant.tech/mcp-agent-in... 010
Qdrant @qdrant.bsky.social · 02/04/2025Relevance feedback helps search systems iteratively improve results toward relevance. It’s been studied for 60+ years — yet remains rare in modern neural search. We explored the field to understand why — and gathered this summary of methods proposed over the years. ⬇️ 100
Reposted by QdrantLlamaIndex @llamaindex.bsky.social · 28/03/2025MCP week: Learn to use LlamaIndex to prep docs for Claude with a pre-built MCP server for @qdrant.bsky.social, using @angular.dev docs. Set up vector DB, process AI-friendly docs, configure MCP server, implement RAG pipeline: www.aiboosted.dev/p/building-your-o… 051
Qdrant @qdrant.bsky.social · 28/03/2025🚧 We ran vector search over 400M CLIP embeddings from LAION-400M — using Qdrant and just 64GB RAM. We wanted to see how far we could push Qdrant with minimal hardware and how much we could squeeze out of quantization, indexing, and async I/O. 110
