Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Today, we’re announcing Medusa Search. Full-text and semantic search, built into Medusa and available on all Medusa Cloud plans from today. Read more in the announcement:

Medusa

9,495 subscribers

37,099 Aufrufe • vor 17 Tagen •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von Medusa

Medusavor 17 Tagen

All commerce apps eventually need good search. Most platforms require a third-party tool which adds complexity and costs. Medusa Search comes out of the box on Medusa Cloud, available on all plans starting today.

Profilbild von Medusa

Medusavor 17 Tagen

Medusa Search supports keyword search with typo tolerance, faceting and filtering, and highlighting. Additionally, semantic search is offered for accurate and contextually relevant search results.

Profilbild von Medusa

Medusavor 17 Tagen

Get started with Medusa Search now!

Profilbild von Nicklas Gellner

Nicklas Gellnervor 17 Tagen

🎉🎉

Profilbild von Oli Juhl

Oli Juhlvor 17 Tagen

Team really cooked with this one!

Profilbild von Piotr Graczyk

Piotr Graczykvor 17 Tagen

@NicklasGellner Been missing this for so long, definitely have to try it out 👀

Profilbild von Hollow Point

Hollow Pointvor 17 Tagen

full-text plus semantic is useful. search still lies when inventory regions and catalogue fields aren't true

Profilbild von Roman Shuper

Roman Shupervor 17 Tagen

As I understand it’s not typo-tolerant, correct?

Profilbild von Stijn van den Hoven

Stijn van den Hovenvor 16 Tagen

You might want to learn about Medusa

Ähnliche Videos

🔥 JUST B set the stage on fire at the 2nd performance of Show It All Vietnam with their captivating and seductive act “MEDUSA”! 💥 #TanBinhToanNang #ShowItAllVietnam #JUSTB #MEDUSA

🔥 JUST B set the stage on fire at the 2nd performance of Show It All Vietnam with their captivating and seductive act “MEDUSA”! 💥 #TanBinhToanNang #ShowItAllVietnam #JUSTB #MEDUSA

Show It All Vietnam | Official

10,402 Aufrufe • vor 11 Monaten

Announcing Medusa 2.0 • Complete Admin redesign • Lots of new commerce features • Decoupled modular architecture • A built-in framework for customizations The best foundation for building custom commerce applications. More at

Announcing Medusa 2.0 • Complete Admin redesign • Lots of new commerce features • Decoupled modular architecture • A built-in framework for customizations The best foundation for building custom commerce applications. More at

Medusa

51,796 Aufrufe • vor 2 Jahren

Semantic search alone doesn't cut it. Neither does brute-force grep. Agents need both. Today we're shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️ Grep a file, list what's in an index, read past a chunk boundary, run hybrid search with reranking — all as native agent tools. Now in beta across all paid tiers. Full breakdown in the blog 👇 Learn More:

Semantic search alone doesn't cut it. Neither does brute-force grep. Agents need both. Today we're shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️ Grep a file, list what's in an index, read past a chunk boundary, run hybrid search with reranking — all as native agent tools. Now in beta across all paid tiers. Full breakdown in the blog 👇 Learn More:

LlamaIndex 🦙

29,181 Aufrufe • vor 3 Monaten

Research like the best managers in the world. For too long, the C-suite have been hiding their plans in the words of their earnings calls. Today, we uncover that for all retail traders. ✅ Search, scrape, sort symbols into lists ✅ Feed context into AI reasoning ✅ Search for the things you can't quantify Semantic Earnings Search is now live. 🔎

Research like the best managers in the world. For too long, the C-suite have been hiding their plans in the words of their earnings calls. Today, we uncover that for all retail traders. ✅ Search, scrape, sort symbols into lists ✅ Feed context into AI reasoning ✅ Search for the things you can't quantify Semantic Earnings Search is now live. 🔎

TrendSpider

314,439 Aufrufe • vor 2 Monaten

Big news: Upstash Redis Search is now generally available! 🎉 ◆ Superfast™ full-text search built in Rust ◆ Clean & 100% type-safe TypeScript APIs ◆ Works with any Upstash Redis database Add fast search to React, Next.js and more 👇

Big news: Upstash Redis Search is now generally available! 🎉 ◆ Superfast™ full-text search built in Rust ◆ Clean & 100% type-safe TypeScript APIs ◆ Works with any Upstash Redis database Add fast search to React, Next.js and more 👇

Upstash

36,357 Aufrufe • vor 3 Monaten

An update on the search for Victoria Taylor ⬇️ Today we have recovered a body in connection with the search for missing 34-year-old Victoria Taylor. Watch the update from ACC Wayne Fox, and read more here:

An update on the search for Victoria Taylor ⬇️ Today we have recovered a body in connection with the search for missing 34-year-old Victoria Taylor. Watch the update from ACC Wayne Fox, and read more here:

North Yorkshire Police

17,869 Aufrufe • vor 1 Jahr

The official Medusa 2.0 release is next week and Workflows is a big part of what makes 2.0 flexible and reliable. Really like this component back from the beta release of Workflows - does a great job of explaining how to custom durable executions in Medusa.

The official Medusa 2.0 release is next week and Workflows is a big part of what makes 2.0 flexible and reliable. Really like this component back from the beta release of Workflows - does a great job of explaining how to custom durable executions in Medusa.

Sebastian Rindom

11,540 Aufrufe • vor 2 Jahren

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Parallel Web Systems

670,356 Aufrufe • vor 11 Monaten

Today I’m excited to introduce Copilot Search in Bing. Copilot Search blends the best of traditional and generative search to help you find what you need. Whether it’s a navigational search result, a quick straightforward answer, or a complex query that leads you on a journey of discovery, Bing is your AI-powered search and answer engine. Copilot Search is rolling out today to everyone. To get started, go to and start exploring. This is a meaningful next step in our evolution of search, building on our learnings from Bing Chat, Copilot, and Bing Generative Search to provide our users the best search experience while supporting and building a healthy web ecosystem. Learn more in today’s announcement:

Today I’m excited to introduce Copilot Search in Bing. Copilot Search blends the best of traditional and generative search to help you find what you need. Whether it’s a navigational search result, a quick straightforward answer, or a complex query that leads you on a journey of discovery, Bing is your AI-powered search and answer engine. Copilot Search is rolling out today to everyone. To get started, go to and start exploring. This is a meaningful next step in our evolution of search, building on our learnings from Bing Chat, Copilot, and Bing Generative Search to provide our users the best search experience while supporting and building a healthy web ecosystem. Learn more in today’s announcement:

Jordi Ribas

16,753 Aufrufe • vor 1 Jahr

Today, we’re sharing more about the future of Bungie, including our plans for Destiny, Marathon, and how we’re changing the way we work. Read more on

Today, we’re sharing more about the future of Bungie, including our plans for Destiny, Marathon, and how we’re changing the way we work. Read more on

Bungie

19,219,735 Aufrufe • vor 18 Tagen

new: explore namespaces in the tpuf dashboard → browse all documents in your namespaces → check metadata and indexing status → search! text, semantic, and custom queries rolling out to all public regions over the next few days. more features coming soon

new: explore namespaces in the tpuf dashboard → browse all documents in your namespaces → check metadata and indexing status → search! text, semantic, and custom queries rolling out to all public regions over the next few days. more features coming soon

turbopuffer

32,159 Aufrufe • vor 28 Tagen

The creator of Nicki’s “Versace Medusa” Venetian mask at the 2018 MTV EMA has shared how it has been made. Nicki referenced this exact momentum in her verse on “MAMA” with Tekashi 6ix9ine and Kanye West ; “I was out in Spain, rockin’ a Medusa head”

The creator of Nicki’s “Versace Medusa” Venetian mask at the 2018 MTV EMA has shared how it has been made. Nicki referenced this exact momentum in her verse on “MAMA” with Tekashi 6ix9ine and Kanye West ; “I was out in Spain, rockin’ a Medusa head”

Ricardo 🦄

24,102 Aufrufe • vor 1 Monat

How do computers understand data? With semantic search! Instead of just matching keywords, it understands context using vector embeddings. Here’s how: 1) Convert data (text, images, etc.) into vectors (embeddings) 2) Store these vectors in a vector database 3) Search by meaning, not just the keywords Semantic search makes finding data across formats easier. Learn more in this blog post by leonie, my all-time favorite:

How do computers understand data? With semantic search! Instead of just matching keywords, it understands context using vector embeddings. Here’s how: 1) Convert data (text, images, etc.) into vectors (embeddings) 2) Store these vectors in a vector database 3) Search by meaning, not just the keywords Semantic search makes finding data across formats easier. Learn more in this blog post by leonie, my all-time favorite:

Femke Plantinga

23,923 Aufrufe • vor 2 Jahren

Today, we’re opening up access to the beta version of Mixedbread Search. Mixedbread Search is the first system that lets you experience search over your own documents the way it should be: fast, accurate, multilingual, and truly multimodal. Available immediately.

Today, we’re opening up access to the beta version of Mixedbread Search. Mixedbread Search is the first system that lets you experience search over your own documents the way it should be: fast, accurate, multilingual, and truly multimodal. Available immediately.

Mixedbread

48,969 Aufrufe • vor 1 Jahr

Andrew Ng + Google showed the foundation behind modern "RAG", "Graph RAG" and semantic retrieval: • 12:00 - turning text into embeddings that capture meaning • 24:00 - visualizing semantic relationships between vectors • 35:00 - using embeddings for classification, clustering and outlier detection • 50:00 - controlling LLM generation with temperature, top-k and top-p • 1:04:00 - semantic search with ScaNN • 1:15:00 - combining retrieval + an LLM into a RAG-style Q&A system - 84-minute deep dive, and one of the clearest explanations of what happens underneath retrieval systems The progression is simple: Text → Embeddings → Similarity → Semantic Search → Retrieval → LLM Answer Most people jump straight into RAG frameworks without understanding this layer Andrew Ng starts one level lower and shows why retrieval works in the first place Watch it today, then read the full "RAG → Context Graphs" roadmap below

Andrew Ng + Google showed the foundation behind modern "RAG", "Graph RAG" and semantic retrieval: • 12:00 - turning text into embeddings that capture meaning • 24:00 - visualizing semantic relationships between vectors • 35:00 - using embeddings for classification, clustering and outlier detection • 50:00 - controlling LLM generation with temperature, top-k and top-p • 1:04:00 - semantic search with ScaNN • 1:15:00 - combining retrieval + an LLM into a RAG-style Q&A system - 84-minute deep dive, and one of the clearest explanations of what happens underneath retrieval systems The progression is simple: Text → Embeddings → Similarity → Semantic Search → Retrieval → LLM Answer Most people jump straight into RAG frameworks without understanding this layer Andrew Ng starts one level lower and shows why retrieval works in the first place Watch it today, then read the full "RAG → Context Graphs" roadmap below

Morlex

34,790 Aufrufe • vor 1 Monat

Deep Search is how code search should be. Shipping today in Sourcegraph Code Search, after heavy use inside our customers Indeed, Stripe, and more.

Deep Search is how code search should be. Shipping today in Sourcegraph Code Search, after heavy use inside our customers Indeed, Stripe, and more.

Quinn Slack

14,796 Aufrufe • vor 11 Monaten

Build powerful, offline AI features with EmbeddingGemma. Our new 308M parameter text embedding model enables on-device semantic search, RAG, and more. Learn how to get started ↓

Build powerful, offline AI features with EmbeddingGemma. Our new 308M parameter text embedding model enables on-device semantic search, RAG, and more. Learn how to get started ↓

Google AI Developers

37,100 Aufrufe • vor 1 Jahr

1/ Today we’re introducing Dropbox Dash for Business! Dash lets you search across all your work apps from one place, combining AI-powered universal search and organization with universal access control. 🧵👇

1/ Today we’re introducing Dropbox Dash for Business! Dash lets you search across all your work apps from one place, combining AI-powered universal search and organization with universal access control. 🧵👇

Drew Houston

244,849 Aufrufe • vor 2 Jahren

Gemini Spark can now search your Google Photos, pick the best shots, remove duplicates, read text from images and pipe that information into Gmail, Docs and Calendar automatically on a recurring schedule.

Gemini Spark can now search your Google Photos, pick the best shots, remove duplicates, read text from images and pipe that information into Gmail, Docs and Calendar automatically on a recurring schedule.

0xMarioNawfal

41,564 Aufrufe • vor 27 Tagen