🗓️ 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
🗓️ 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
Their project uses Qdrant Hybrid Search to detect insurance fraud - fast, auditable, and production-ready.
Demo here: www.youtube.com/watch?v=1-_p...
Their project uses Qdrant Hybrid Search to detect insurance fraud - fast, auditable, and production-ready.
Demo here: www.youtube.com/watch?v=1-_p...
What would do want to see in an Qdrant Course? Let us know in the comments!
What would do want to see in an Qdrant Course? Let us know in the comments!
Smarter second-hop exploration = higher recall under strict filters.
Shared by our star NiranjanAkella 🔥
Link: blog.stackademic.com/zero-results...
Smarter second-hop exploration = higher recall under strict filters.
Shared by our star NiranjanAkella 🔥
Link: blog.stackademic.com/zero-results...
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/...
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/...
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...
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...
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...
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...
A clean example of how semantic search can level up performance engineering.
Read: 👉 towardsdev.com/designing-a-...
A clean example of how semantic search can level up performance engineering.
Read: 👉 towardsdev.com/designing-a-...
🔗 qdrant.tech/blog/case-st...
🔗 qdrant.tech/blog/case-st...
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...
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...
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/...
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/...
Full story: qdrant.tech/blog/case-st...
Full story: qdrant.tech/blog/case-st...
Built by Chetan Kumar using Next.js, FastAPI, LangChain, OpenAI & Qdrant.
🎥 Demo: www.loom.com/share/257ed8...
Built by Chetan Kumar using Next.js, FastAPI, LangChain, OpenAI & Qdrant.
🎥 Demo: www.loom.com/share/257ed8...
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...
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...
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
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
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...
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...
A great blueprint for scalable, data-sovereign AI pipelines.
Check here: medium.com/h7w/cloud-na...
A great blueprint for scalable, data-sovereign AI pipelines.
Check here: medium.com/h7w/cloud-na...
• 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-...
• 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-...
🚀 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
🚀 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
👉 Register here:
#AI #RAG #Observability #ArizeAI
👉 Register here:
#AI #RAG #Observability #ArizeAI
We’re proud to be part of Europe’s AI ecosystem.
Read about it here: sifted.eu/intelligence...
We’re proud to be part of Europe’s AI ecosystem.
Read about it here: sifted.eu/intelligence...
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
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
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
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
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-...
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-...