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Search is now updated across Box. This foundational upgrade changes what enterprise search can actually do. 4 to 10x faster results. File indexing reduced from 15 minutes to seconds. And a stronger foundation for AI agents to perform deep-document search across your enterprise content. All at any scale, including... show more

Box

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116,897 次观看 • 15 天前 •via X (Twitter)

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Today, we launched a brand-new intelligent Search box. Here's what that means: An upgrade to the Search experience with our most advanced Gemini 3.5 models, bringing with them our latest agentic capabilities You can ask across modalities (text, images, files, and videos) and Search can reason across them all We're combining AI Overviews and AI Mode into one, seamless AI Search experience. So you can ask follow-up questions, build context, and received even more tailored and personalized responses This new AI Search experience is live today across desktop and mobile, worldwide.

Google AI

43,869 次观看 • 1 个月前

Your enterprise content should power every AI tool and agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →

Your enterprise content should power every AI tool and agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →

Box

481,535 次观看 • 3 个月前

Agent Marketplace allows you to search for and deploy specialized agents from our global partner ecosystem directly in Gemini Enterprise—including Atlassian, Elastic, Oracle, ServiceNow, and Workday. #GoogleCloudNext

Agent Marketplace allows you to search for and deploy specialized agents from our global partner ecosystem directly in Gemini Enterprise—including Atlassian, Elastic, Oracle, ServiceNow, and Workday. #GoogleCloudNext

Google Cloud

10,790 次观看 • 1 个月前

You can now generate public endpoints, UI snippets, and a MCP server with AI Search: making it easy to add search to your website or connect AI agents.

You can now generate public endpoints, UI snippets, and a MCP server with AI Search: making it easy to add search to your website or connect AI agents.

Cloudflare Developers

35,570 次观看 • 2 个月前

Search on has gotten an upgrade! Search is now faster, cleaner, and more accurate than ever before. Check it out and search for your favorite tournaments!

Search on has gotten an upgrade! Search is now faster, cleaner, and more accurate than ever before. Check it out and search for your favorite tournaments!

start.gg

18,176 次观看 • 1 年前

Browsing on Amazon this morning for a boom arm and came across this sponsored video. This is such a cool way to stand out in the search results.

Browsing on Amazon this morning for a boom arm and came across this sponsored video. This is such a cool way to stand out in the search results.

RunThatBMC

873,836 次观看 • 2 年前

Box Hubs turns content chaos into a searchable, AI-powered knowledge base - built in minutes, no code required. The problem isn't lack of information. It's content sprawl making the right information impossible to find. Box Hubs changes that: 🔷Single source of truth that auto-updates when files change 🔷Ask natural language questions, get instant answers with citations via Box AI 🔷Drag-and-drop builder with multi-page portals, change notifications, and link previews 🔷Enterprise-grade security and governance from the start Stop duplicating files. Stop answering the same questions. Start putting your content to work. Find out how:

Box Hubs turns content chaos into a searchable, AI-powered knowledge base - built in minutes, no code required. The problem isn't lack of information. It's content sprawl making the right information impossible to find. Box Hubs changes that: 🔷Single source of truth that auto-updates when files change 🔷Ask natural language questions, get instant answers with citations via Box AI 🔷Drag-and-drop builder with multi-page portals, change notifications, and link previews 🔷Enterprise-grade security and governance from the start Stop duplicating files. Stop answering the same questions. Start putting your content to work. Find out how:

Box

251,013 次观看 • 4 个月前

Search just got an upgrade! Our new Advanced Search lets you set your location, apply updated filters, and customize your search between tournaments, leagues, and hubs much faster than before. Learn about this and more in our new Balance Patch article below!

Search just got an upgrade! Our new Advanced Search lets you set your location, apply updated filters, and customize your search between tournaments, leagues, and hubs much faster than before. Learn about this and more in our new Balance Patch article below!

start.gg

12,129 次观看 • 2 个月前

Jared Shult hey twin just came across this in my tt search what do you want to say

Jared Shult hey twin just came across this in my tt search what do you want to say

ً

28,144 次观看 • 6 个月前

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

Cody Schneider

77,602 次观看 • 1 个月前

Run AI-powered searches across Google Scholar, Semantic Scholar, PubMed, Scite, and arxiv Go to Select "Paper Search," then "Search papers." Type in your query and it'll show you papers from all 5 databases. And create graphs with Litmaps integration.

Run AI-powered searches across Google Scholar, Semantic Scholar, PubMed, Scite, and arxiv Go to Select "Paper Search," then "Search papers." Type in your query and it'll show you papers from all 5 databases. And create graphs with Litmaps integration.

Mushtaq Bilal, PhD

19,069 次观看 • 1 年前

in 0.50, Cursor got a lot more efficient working with long files agent can now search & replace which allows for surgical edits making it much faster, around 2x in this example

in 0.50, Cursor got a lot more efficient working with long files agent can now search & replace which allows for surgical edits making it much faster, around 2x in this example

eric zakariasson

66,706 次观看 • 1 年前

You can now access Box and Dropbox, in addition to Google Drive, OneDrive, and SharePoint with Perplexity Enterprise Pro. Get comprehensive answers by running Deep Research on internal files and the web, all with enterprise-grade security.

You can now access Box and Dropbox, in addition to Google Drive, OneDrive, and SharePoint with Perplexity Enterprise Pro. Get comprehensive answers by running Deep Research on internal files and the web, all with enterprise-grade security.

Perplexity

142,946 次观看 • 1 年前

You can now use AI search to discover new posts and comments on the social network for AI agents. Have fun!

You can now use AI search to discover new posts and comments on the social network for AI agents. Have fun!

Matt Schlicht

213,023 次观看 • 4 个月前

Gemini 1.5 Pro with Search is now available on Poe! This bot can access real-time information via Google Search to provide more accurate and relevant responses with citations. (1/4)

Gemini 1.5 Pro with Search is now available on Poe! This bot can access real-time information via Google Search to provide more accurate and relevant responses with citations. (1/4)

Poe

60,516 次观看 • 2 年前

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 次观看 • 1 年前

From quick document summaries and advanced search capabilities to new media views and branded external file requests, OneDrive has plenty of new features to make your file interactions smooth, fast, and on-brand.

OneDrive

12,384 次观看 • 2 年前

just vibe-coded an internal search tool that finds any file on my computer and answers questions related to them. it's a custom Raycast extension powered by Anthropic's MCP (thanks Alex Albert & Marc Klingen for showing me!)—but it works with any LLM for Q&A across my local files. given Raycast’s slick UX + deep integrations, I’ve always thought it’s perfectly positioned to solve internal search like Glean does with enterprises, so I built one. code is in the comments—curious to hear your thoughts

just vibe-coded an internal search tool that finds any file on my computer and answers questions related to them. it's a custom Raycast extension powered by Anthropic's MCP (thanks Alex Albert & Marc Klingen for showing me!)—but it works with any LLM for Q&A across my local files. given Raycast’s slick UX + deep integrations, I’ve always thought it’s perfectly positioned to solve internal search like Glean does with enterprises, so I built one. code is in the comments—curious to hear your thoughts

viet

104,019 次观看 • 1 年前

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Akshay 🚀

215,151 次观看 • 4 个月前

Grok is now available on Telegram. Just search for "GrokAI" in Telegram’s search bar and select the official Grok AI bot to get started.

Grok is now available on Telegram. Just search for "GrokAI" in Telegram’s search bar and select the official Grok AI bot to get started.

DogeDesigner

78,874 次观看 • 1 年前