Read here to see how Flipkart’s Trust & Safety team built real-time multimodal similarity search with Qdrant

Link: qdrant.tech/blog/case-st...

👏

Chunking 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 👇

Voice 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.

InfoWorld’s 2025 Technology of the Year Award winners The InfoWorld Technology of the Year Awards recognize the year’s best and most innovative products in AI, cloud, data analytics, devops, and software development.

𝐏𝐫𝐨𝐮𝐝 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐰𝐨𝐧 𝐭𝐡𝐞 𝐈𝐧𝐟𝐨𝐖𝐨𝐫𝐥𝐝 𝐚𝐰𝐚𝐫𝐝 🥇

More info here: www.infoworld.com/article/4104...

⏰ 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

Hackathon -Pioneers AI YouTube video by Achraf E

Team 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...

Get 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!

Qdrant’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...

𝐊𝐲𝐥𝐢𝐞 - 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/...

Multimodal 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...

Vector 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...

Loved 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-...

Cosmos 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...

Qdrant 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...

Building 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…

Building 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/...

Xaver 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...

An 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...

Quantization 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...

Powering 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

Rearchitecting Vector Search: A Migration from MongoDB Atlas to Qdrant A complete guide to transition from Traditional MongoDB to vector first Qdrant DB

🚀 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...

🧩 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...

Dify 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-...

🗞️ 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

📅 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

Reports | Sifted Sifted Reports: trusted insight and analysis into Europe’s startup ecosystem.

We’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...

GitHub - stahir80td/incident-management Contribute to stahir80td/incident-management development by creating an account on GitHub.

⚡ 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 #Ops

Exciting 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

Qdrant 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-...

Deploying 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…

Production-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/jcaZ0KFS8c