On-device AI RAG using Qdrant Edge https://t.co/XcDxt0adTQ - 惯性聚合

推荐订阅源

博客园 - 叶小钗

The Blog of Author Tim Ferriss

Recent Announcements

DataBreaches.Net

The Cloudflare Blog

阮一峰的网络日志

罗磊的独立博客

奇客Solidot–传递最新科技情报

Netflix TechBlog - Medium

Microsoft Azure Blog

Microsoft Security Blog

有赞技术团队

博客园 - 聂微东

宝玉的分享

Full Disclosure

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

酷壳 – CoolShell

Proofpoint News Feed

About on SuperTechFans

博客园 - 【当耐特】

Check Point Blog

Threat Intelligence Blog | Flashpoint

Privacy & Cybersecurity Law Blog

Threat Research - Cisco Blogs

Y Combinator Blog

WordPress大学

博客园 - 司徒正美

The Exploit Database - CXSecurity.com

LINUX DO - 热门话题

Engineering at Meta

CXSECURITY Database RSS Feed - CXSecurity.com

Java Code Geeks

Cyber Security Advisories - MS-ISAC

Last Week in AI

CERT Recently Published Vulnerability Notes

Qdrant(@qdrant_engine)

Qdrant (@qdrant_engine) on X Benchmark results: Elastic's benchmark claims Qdrant is 7x slower on disk search. They never enabled the two features b... Most retrieval agents follow the same pipeline for every query. Join us tomorrow to learn how to bu... Qdrant is heading to WeAreDevelopers World Congress! If you’re joining us in Berlin, here’s where y... Going live in 15 minutes. Don't forget to join! Join us for today’s Vector Space Talk with @TRJ_0751. Discover how to build a fully on-device RAG p... Coming up next week on Vector Space Talks! What if your AI assistant could run entirely on your dev... Not every query deserves the same retrieval pipeline. Some questions are simple. Others require mul... Looking to Build GraphRAG? Start with This Practical Guide from our star, Pavan In this practical g... "Do we still need (traditional) search engines when AI can do & knows everything?" That was the que... Last week, we hosted Vector Space Meetup: Retrieval in the Age of Agents. Our CTO Andrey Vasnetsov ... Next up on Vector Space Talks! We're joined by @TRJ_0751, Founding Engineer at Kaivid Labs and Qdra... Most search systems treat relevance as something that happens after retrieval. But what if relevanc... The future of retrieval was on full display at Vector Space Day San Francisco. Vector Space Day San... Building a retrieval system is one thing. Knowing whether it’s actually good is another. This pract... Do larger context windows make vector search obsolete? This benchmark compares two approaches: → Se... Can you detect a fire without training a custom model? This project takes a different approach: Edg... What if your photo gallery could do more than just store images? This project by Vatsala Singh turn... AI doesn’t always need the cloud. This project uses Qdrant Edge to build a privacy-first SOS detect... What does it take to run vector search at the scale of 20+ billion vectors? At Vector Space Day, Ol... Fast retrieval is table stakes. Retrieval that respects who's asking, what they're allowed to see, a... What if you could just tell a robot what to do? Sandhya Subramani from @awscloud is bringing a live... Just 1 week to go until Vector Space Meetup: Retrieval in the Age of Agents in Berlin. Everyone is ... When you're running GenAI on the edge, you don't get to blame the network. Alan Zhu from @Qualcomm ... Search is one of the most important parts of the e-commerce experience, and one of the hardest to ge... Where does AI memory actually live right now? In markdown files, vectors, graphs, a mix of all three... Video is the most information-dense modality we have, and most retrieval pipelines treat it like tex... Most in-car media systems still expect you to search with keywords. But when you’re driving, you do... Tweaking chunk sizes and running a few demo queries is not an evaluation strategy. Laurie Voss (Hea... Berlin folks 🇩🇪 Join us for an evening focused on AI retrieval, agents, and modern search systems... About 90% of enterprise data is unstructured, and most of it lives in documents. PDFs, spreadsheets,... We’re hosting Vector Space Meetup: Retrieval in the Age of Agents on June 11. RAG is the architectu... Building an AI agent is one thing. Building one that's intelligent, reliable, and actually ready for... Today we're announcing Aman as our exclusive partner in Israel. Israeli enterprise teams (in bankin... Vectors tell you what's similar. They don't tell you what's connected. Stephen Chin (VP of Developer... TurboQuant Webinar is tomorrow!! Better compression without sacrificing recall 👀 → TurboQuant vs ... Paige Bailey from @GoogleDeepMind has a question for anyone building agents: why are humans still wr... Most teams think continual learning is a training problem. Taranjeet Singh from @mem0ai thinks they'... Most people pay for insurance and barely understand what it covers. The pamphlet is dense, the insur... Excited to share that Qdrant will be speaking at the @MistralAI AI NOW Summit in Paris 🇫🇷 Chadha ... TurboQuant Webinar Reminder Better compression without sacrificing recall 👀 Join us on May 26 to ... Excited to share that Qdrant is joining #bbuzz26 as a Gold Partner! If you’re attending @berlinbuzz... Meet a few of our speakers for Vector Space Day on June 11 at The Midway. They will cover: - Taranj... 🚨 Happening today: Qdrant Office Hours Join us with Kevin, our Qdrant Star for: “Threat Intel wit... It’s here . . . We’ve lined up technical talks on vector search, AI memory, context engineering, or ... Recruiting is a needle-in-a-haystack problem at massive scale: 200M+ profiles, 1B+ data points, and ... Grep works when you know exactly what you’re looking for. Vector search works when you only know th... Vector search with Qdrant ≠ just embeddings Real retrieval systems combine: → semantic search → met... TurboQuant is now in Qdrant If you’re using SQ or BQ today, there may be a better option! → Simila...

On-device AI RAG using Qdrant Edge https://t.co/XcDxt0adTQ

Qdrant (@qdr · 2026-07-07 · via Qdrant(@qdrant_engine)

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。