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
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
November 11, 2025 at 6:22 PM
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
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
🚀 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...
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...
Rearchitecting Vector Search: A Migration from MongoDB Atlas to Qdrant
A complete guide to transition from Traditional MongoDB to vector first Qdrant DB
pub.towardsai.net
November 9, 2025 at 7:28 PM
🚀 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...
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...
A great blueprint for scalable, data-sovereign AI pipelines.
Check here: medium.com/h7w/cloud-na...
November 6, 2025 at 7:46 AM
🧩 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...
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-...
• 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-...
November 5, 2025 at 10:16 AM
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-...
• 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
🚀 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
November 4, 2025 at 4:56 PM
🗞️ 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
🚀 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
👉 Register here:
#AI #RAG #Observability #ArizeAI
November 4, 2025 at 4:55 PM
📅 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
👉 Register here:
#AI #RAG #Observability #ArizeAI
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...
We’re proud to be part of Europe’s AI ecosystem.
Read about it here: sifted.eu/intelligence...
Reports | Sifted
Sifted Reports: trusted insight and analysis into Europe’s startup ecosystem.
sifted.eu
November 2, 2025 at 6:20 PM
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...
We’re proud to be part of Europe’s AI ecosystem.
Read about it here: sifted.eu/intelligence...
⚡ 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
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
GitHub - stahir80td/incident-management
Contribute to stahir80td/incident-management development by creating an account on GitHub.
github.com
November 2, 2025 at 6:19 PM
⚡ 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
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
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
October 30, 2025 at 7:11 PM
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
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-...
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-...
October 29, 2025 at 12:33 PM
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-...
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-...
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
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
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…
medium.com
October 29, 2025 at 6:48 AM
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
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
New 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...
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 691: Kacper Łukawski on Qdrant Vector Database – Software Engineering Radio
se-radio.net
October 28, 2025 at 5:25 PM
New 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...
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...
Reposted by Qdrant
Want 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
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
October 23, 2025 at 7:37 PM
Want 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
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
🚀 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 #MachineLearning
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 #MachineLearning
Qdrant Academy Launches with Qdrant Essentials Course - Qdrant
The free, self-service, and online Qdrant Academy site has launched with its first comprehensive course, Qdrant Essentials. Read to learn more.
qdrant.tech
October 23, 2025 at 4:30 PM
🚀 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 #MachineLearning
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 #MachineLearning
Reposted by Qdrant
In 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.
October 23, 2025 at 4:25 PM
In 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.
🫶 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! 💬
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! 💬
October 17, 2025 at 9:37 AM
🫶 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! 💬
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! 💬
Reposted by Qdrant
Had 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.
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.
October 17, 2025 at 8:49 AM
Had 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.
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.
Reposted by Qdrant
This 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.
miniCOIL: on the Road to Usable Sparse Neural Retrieval - Qdrant
Introducing miniCOIL, a lightweight sparse neural retriever capable of generalization.
qdrant.tech
July 26, 2025 at 3:42 PM
This 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.
An 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...
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...
July 10, 2025 at 2:52 PM
An 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...
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...
Free 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...
Learn more 👉 qdrant.tech/blog/datatal...
Qdrant + DataTalks.Club: Free 10-Week Course on LLM Applications - Qdrant
Gain hands-on experience with RAG, vector search, evaluation, monitoring, and more.
qdrant.tech
June 10, 2025 at 3:14 PM
Free 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...
Learn more 👉 qdrant.tech/blog/datatal...
☕ Guess what? We're sponsoring the coffee breaks at @berlinbuzzwords.de 2025!
June 10, 2025 at 8:20 AM
☕ Guess what? We're sponsoring the coffee breaks at @berlinbuzzwords.de 2025!
Reposted by Qdrant
⏰ 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)
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)
June 9, 2025 at 12:28 PM
⏰ 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)
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)
🥨 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!
👇
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!
👇
June 2, 2025 at 1:20 PM
🥨 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!
👇
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!
👇
Reposted by Qdrant
Create 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. https://msft.it/63326S1eg4
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. https://msft.it/63326S1eg4
April 25, 2025 at 2:05 PM
Create 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. https://msft.it/63326S1eg4
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. https://msft.it/63326S1eg4
Reposted by Qdrant
🚀 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 #ONNX
🎯 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 #ONNX
🚀 Building a RAG API with .NET, Semantic Kernel, Phi-3, and Qdrant: Enrich Your E-commerce Experience
Learn 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…
elguerre.com
April 22, 2025 at 9:01 PM
🚀 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 #ONNX
🎯 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 #ONNX