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Most search models need the cloud. II-Search-4B doesn’t. 4B model tuned for reasoning with search tools, built for local use. Performance of models 10x its size. Search that is small, smart, and open.

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Intelligent Internet

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499,961 görüntüleme • 10 ay önce •via X (Twitter)

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Introducing Jan-v1: 4B model for web search, an open-source alternative to Perplexity Pro. In our evals, Jan v1 delivers 91% SimpleQA accuracy, slightly outperforming Perplexity Pro while running fully locally. Use cases: - Web search - Deep Research Built on the new version of Qwen's Qwen3-4B-Thinking (up to 256k context length), fine-tuned for reasoning and tool use in Jan. You can run the model in Jan, llama.cpp, or vLLM. To enable search in Jan, go to Settings → Experimental Features → On, then Settings → MCP Servers → enable a search-related MCP such as Serper. Use the model: - Jan-v1-4B: - Jan-v1-4B-GGUF: Credit to the Qwen team for Qwen3 4B Thinking & Georgi Gerganov for llama.cpp.
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Introducing Jan-v1: 4B model for web search, an open-source alternative to Perplexity Pro. In our evals, Jan v1 delivers 91% SimpleQA accuracy, slightly outperforming Perplexity Pro while running fully locally. Use cases: - Web search - Deep Research Built on the new version of Qwen's Qwen3-4B-Thinking (up to 256k context length), fine-tuned for reasoning and tool use in Jan. You can run the model in Jan, llama.cpp, or vLLM. To enable search in Jan, go to Settings → Experimental Features → On, then Settings → MCP Servers → enable a search-related MCP such as Serper. Use the model: - Jan-v1-4B: - Jan-v1-4B-GGUF: Credit to the Qwen team for Qwen3 4B Thinking & Georgi Gerganov for llama.cpp.

👋 Jan

689,722 görüntüleme • 10 ay önce

OpenAI: "Look at our new AI-powered internet search! with a fine-tuned model!" Perplexity: "Look at our AI-powered internet search combining multiple models!" Google: "We built a custom pipeline for AI summaries!" Microsoft: "We did AI search built around Bing years ago!" Claude:
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OpenAI: "Look at our new AI-powered internet search! with a fine-tuned model!" Perplexity: "Look at our AI-powered internet search combining multiple models!" Google: "We built a custom pipeline for AI summaries!" Microsoft: "We did AI search built around Bing years ago!" Claude:

Ethan Mollick

260,082 görüntüleme • 1 yıl önce

Inspired by Hugging Face's official MCP server, I built my own to expose my semantic search API for the HF ecosystem! Features AI-powered search, parameter analysis via safetensors, and tools to find similar models/datasets. Try: "Find non maths reasoning datasets from 2025"!
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Inspired by Hugging Face's official MCP server, I built my own to expose my semantic search API for the HF ecosystem! Features AI-powered search, parameter analysis via safetensors, and tools to find similar models/datasets. Try: "Find non maths reasoning datasets from 2025"!

Daniel van Strien

15,147 görüntüleme • 1 yıl önce

T3 Chat's "search" feature was powered by Google's Search Grounding, which was great, but sadly it only works for Gemini models. Today, that changes. Search now works with almost every model. Quality of results has gone up too!
0:29

T3 Chat's "search" feature was powered by Google's Search Grounding, which was great, but sadly it only works for Gemini models. Today, that changes. Search now works with almost every model. Quality of results has gone up too!

Theo - t3.gg

73,030 görüntüleme • 11 ay önce

This is the DeepSeek moment of Search? A small team of cracked engineers built a search API for AI agents that outperforms everything built with 20x the funding. AI systems are about to become the biggest users of information on Earth. They don’t need a better Google. They need a retrieval layer built for reasoning, scale, and access beyond the web. That’s what we’re building. 1/3
2:27

This is the DeepSeek moment of Search? A small team of cracked engineers built a search API for AI agents that outperforms everything built with 20x the funding. AI systems are about to become the biggest users of information on Earth. They don’t need a better Google. They need a retrieval layer built for reasoning, scale, and access beyond the web. That’s what we’re building. 1/3

Valyu

1,134,966 görüntüleme • 8 ay önce

🚨 BIG NEWS 🚨 Search Arena is live with 7 top models with search capabilities ready for testing. Be sure to have the "Search" modality selected in the chat box, and get testing. 🌐 xAI: Grok 4 Paul Jankura: Claude Opus 4 ✨Flex_Lex 💪🏽✨: Sonar Pro High & Reasoning Pro High OpenAI: o3 & GPT 4o-Search Preview Google DeepMind: Gemini 2.5 Pro Grounding
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🚨 BIG NEWS 🚨 Search Arena is live with 7 top models with search capabilities ready for testing. Be sure to have the "Search" modality selected in the chat box, and get testing. 🌐 xAI: Grok 4 Paul Jankura: Claude Opus 4 ✨Flex_Lex 💪🏽✨: Sonar Pro High & Reasoning Pro High OpenAI: o3 & GPT 4o-Search Preview Google DeepMind: Gemini 2.5 Pro Grounding

Arena.ai

90,611 görüntüleme • 10 ay önce

Introducing OpenAI o3 and o4-mini—our smartest and most capable models to date. For the first time, our reasoning models can agentically use and combine every tool within ChatGPT, including web search, Python, image analysis, file interpretation, and image generation.
0:44

Introducing OpenAI o3 and o4-mini—our smartest and most capable models to date. For the first time, our reasoning models can agentically use and combine every tool within ChatGPT, including web search, Python, image analysis, file interpretation, and image generation.

OpenAI

3,719,699 görüntüleme • 1 yıl önce

gpt4.5 with search is MUCH faster than without search makes me think they're using a whole different model for search video attached (real time)
0:34

gpt4.5 with search is MUCH faster than without search makes me think they're using a whole different model for search video attached (real time)

adi

34,348 görüntüleme • 1 yıl önce

Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:
0:57

Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:

Soham

34,566 görüntüleme • 1 yıl önce

Meet Jan-nano, a 4B model that outscores DeepSeek-v3-671B using MCP. It's built on Qwen3-4B with DAPO fine-tuning, it handles: - real-time web search - deep research Model + GGUF: To run it locally: - Install Jan Beta: - Download Jan-nano in Jan Hub - Settings -> MCP, enable MCP and add your Serper API key for web tools Full technical report will be published shortly.
0:55

Meet Jan-nano, a 4B model that outscores DeepSeek-v3-671B using MCP. It's built on Qwen3-4B with DAPO fine-tuning, it handles: - real-time web search - deep research Model + GGUF: To run it locally: - Install Jan Beta: - Download Jan-nano in Jan Hub - Settings -> MCP, enable MCP and add your Serper API key for web tools Full technical report will be published shortly.

Menlo Research

56,109 görüntüleme • 1 yıl önce

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.
1:20

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

669,403 görüntüleme • 7 ay önce

We've added a new "reasoning" focus (beta) on Perplexity for Pro users. It will use the new OpenAI o1-mini. There is no search integration yet. The model is slow, and usage is limited because of rate limits. It is good for puzzles, math, and coding. Pro searches are your best way to use multi-step reasoning + web search.
0:27

We've added a new "reasoning" focus (beta) on Perplexity for Pro users. It will use the new OpenAI o1-mini. There is no search integration yet. The model is slow, and usage is limited because of rate limits. It is good for puzzles, math, and coding. Pro searches are your best way to use multi-step reasoning + web search.

Aravind Srinivas

288,789 görüntüleme • 1 yıl önce

Why search some of the Internet, when you can search all of the Internet? All the Internet was created to be extremely fast, easy to use, secure and have the most relevant search results. You can search the whole Internet with All the Internet.
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Why search some of the Internet, when you can search all of the Internet? All the Internet was created to be extremely fast, easy to use, secure and have the most relevant search results. You can search the whole Internet with All the Internet.

All the Internet

4,902,925 görüntüleme • 2 yıl önce

T3 CHAT LAUNCH WEEK DAY 2 Search is now 10x faster, and models can do multiple searches per request
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T3 CHAT LAUNCH WEEK DAY 2 Search is now 10x faster, and models can do multiple searches per request

Theo - t3.gg

53,833 görüntüleme • 3 ay önce

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.
0:24

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.

Anni Wang

12,935 görüntüleme • 1 ay önce

Just made an MCP server to use Anthropic’s new web search tool. What I love about it is that the search is agentic. You can use any model to call a Claude instance that returns processed search results. Or specify how deep the search should be. 🔗 Link in the comments.
0:23

Just made an MCP server to use Anthropic’s new web search tool. What I love about it is that the search is agentic. You can use any model to call a Claude instance that returns processed search results. Or specify how deep the search should be. 🔗 Link in the comments.

Pietro Schirano

29,189 görüntüleme • 1 yıl önce

Web search is now available with OpenAI o3, o3-pro, and o4-mini. The model can search the web within its chain-of-thought! 🧠🌐 $10 / 1K tool calls
0:39

Web search is now available with OpenAI o3, o3-pro, and o4-mini. The model can search the web within its chain-of-thought! 🧠🌐 $10 / 1K tool calls

OpenAI Developers

190,139 görüntüleme • 11 ay önce

NEW: Perplexity just released pplx-embed, a series of powerful embedding models. Inspired by their logo, I built a small semantic search demo: enter a query and the model retrieves the most relevant page. Everything runs locally in your browser with Transformers.js and Three.js
0:40

NEW: Perplexity just released pplx-embed, a series of powerful embedding models. Inspired by their logo, I built a small semantic search demo: enter a query and the model retrieves the most relevant page. Everything runs locally in your browser with Transformers.js and Three.js

Xenova

11,092 görüntüleme • 3 ay önce

Here's the HDCuts search process step by step! 1 - Click On Profile 2 - Open Search Bar 3 - Search The Movie Name With Hashtag Note: If your favorite clip/scene is not available in the search results, DM or tag us and ask for your favorites #Prabhas
0:29

Here's the HDCuts search process step by step! 1 - Click On Profile 2 - Open Search Bar 3 - Search The Movie Name With Hashtag Note: If your favorite clip/scene is not available in the search results, DM or tag us and ask for your favorites #Prabhas

Prabhas Cuts

46,700 görüntüleme • 3 yıl önce

ReZero: A small model that learns to search - it never gives up 🔥 ReZero trains with synthetic search engines that force the model to retry, refine, and persist until it finds a better answer (never give up 💪). It's built on Meta's Llama 3.2B. Instead of optimizing for recall or speed, we train the model to retry when it's wrong - using reinforcement learning to build persistence into the search process. - Model: - Code: Thanks to AI at Meta for the Llama 3.2B base, Unsloth AI for AutoDidact (the framework we built on), and Colin Kealty for quantizing the model!
0:38

ReZero: A small model that learns to search - it never gives up 🔥 ReZero trains with synthetic search engines that force the model to retry, refine, and persist until it finds a better answer (never give up 💪). It's built on Meta's Llama 3.2B. Instead of optimizing for recall or speed, we train the model to retry when it's wrong - using reinforcement learning to build persistence into the search process. - Model: - Code: Thanks to AI at Meta for the Llama 3.2B base, Unsloth AI for AutoDidact (the framework we built on), and Colin Kealty for quantizing the model!

Menlo Research

13,948 görüntüleme • 1 yıl önce