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Level up your n8n.io workflows with best-in-class web search. Here’s Khushi Shelat, our GTM Engineering lead, walking through Parallel’s n8n node and sharing some of the personal templates that help her stay organized using agentic web search.

Parallel Web Systems

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25,887 次观看 • 8 个月前 •via X (Twitter)

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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

669,725 次观看 • 9 个月前

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!

Firecrawl

15,327 次观看 • 4 个月前

TinyFish + n8n.io. Two things that just work, now wired together. TinyFish Web Agent is live as a community node. Your drag-and-drop workflows can now browse any site and return structured JSON. JSON workflow templates are open-sourced in the Cookbook. Import and go 🚀

TinyFish + n8n.io. Two things that just work, now wired together. TinyFish Web Agent is live as a community node. Your drag-and-drop workflows can now browse any site and return structured JSON. JSON workflow templates are open-sourced in the Cookbook. Import and go 🚀

TinyFish

18,302 次观看 • 5 个月前

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

16,729 次观看 • 1 年前

Anthropic just announced web search built into their API. So without writing a line of code, let’s create a mobile app called Claudexity, that allows us to chat with Claude that can search the web. 1. Prototype VibeCode (Claude API built into app you don’t need to bring your own) 2. Export to Cursor, paste docs and add search step. Note: make sure web search is enabled in your Anthropic Console.

Anthropic just announced web search built into their API. So without writing a line of code, let’s create a mobile app called Claudexity, that allows us to chat with Claude that can search the web. 1. Prototype VibeCode (Claude API built into app you don’t need to bring your own) 2. Export to Cursor, paste docs and add search step. Note: make sure web search is enabled in your Anthropic Console.

Riley Brown

45,952 次观看 • 1 年前

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.

OpenAI Developers

1,074,855 次观看 • 5 个月前

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

Richard Socher

63,639 次观看 • 11 个月前

Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder Travers. Parallel Web Systems is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We Terrain feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.

Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder Travers. Parallel Web Systems is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We Terrain feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.

Willem

54,295 次观看 • 2 个月前

INTRODUCING FACTORY Factory is the Command Center where developers and agentic AI collaborate to understand, plan, and build enterprise software. Our enterprise platform combines advanced engineering system indexing, state-of-the-art retrieval and search, and reliable agentic systems powered by frontier LLMs. In your Factory, • 🤖 Droid Mode unlocks cutting-edge agentic capabilities. Accelerate your development with AI that autonomously pulls in tickets, reads error logs, retrieves relevant context, executes code, and solves complex, long-running tasks. • 🪡 Threads let you jump into deep work with all relevant context dynamically surfaced in front of you. No more crawling through Github, Slack, Google Drive, Notion, Jira, Slack, or context-switching between them. • ⚡ Workflows transform and centralize your organization’s best practices into executable, AI-powered processes. Automate repetitive tasks like building integrations, bug-fixing, PRD creation, release notes, version updates, and more. We're working with some of the most innovative organizations in software — from AI-forward enterprises like MongoDB to high-growth organizations across the world. Our enterprise platform combines advanced engineering system indexing, state-of-the-art retrieval and search, and reliable agentic systems using frontier LLMs like o3 and Claude 3.7 Sonnet 1/7

INTRODUCING FACTORY Factory is the Command Center where developers and agentic AI collaborate to understand, plan, and build enterprise software. Our enterprise platform combines advanced engineering system indexing, state-of-the-art retrieval and search, and reliable agentic systems powered by frontier LLMs. In your Factory, • 🤖 Droid Mode unlocks cutting-edge agentic capabilities. Accelerate your development with AI that autonomously pulls in tickets, reads error logs, retrieves relevant context, executes code, and solves complex, long-running tasks. • 🪡 Threads let you jump into deep work with all relevant context dynamically surfaced in front of you. No more crawling through Github, Slack, Google Drive, Notion, Jira, Slack, or context-switching between them. • ⚡ Workflows transform and centralize your organization’s best practices into executable, AI-powered processes. Automate repetitive tasks like building integrations, bug-fixing, PRD creation, release notes, version updates, and more. We're working with some of the most innovative organizations in software — from AI-forward enterprises like MongoDB to high-growth organizations across the world. Our enterprise platform combines advanced engineering system indexing, state-of-the-art retrieval and search, and reliable agentic systems using frontier LLMs like o3 and Claude 3.7 Sonnet 1/7

Factory

327,922 次观看 • 1 年前

Introducing RAGs v3 🌟: Build a RAG bot that can also search the web 🌐, to find answers that aren’t immediately in its corpus. Do this all in natural language, not code! 💬 Get a better experience than ChatGPT + Bing ⚡️ We used our integration with Metaphor - a search engine designed for LLMs - to pull in relevant text from the internet. Additionally: - you can now view the tools that the agent is using. - note: web search is only accessible for our OpenAI agent Check out the video below, and get started with the repo today. Repo:

Introducing RAGs v3 🌟: Build a RAG bot that can also search the web 🌐, to find answers that aren’t immediately in its corpus. Do this all in natural language, not code! 💬 Get a better experience than ChatGPT + Bing ⚡️ We used our integration with Metaphor - a search engine designed for LLMs - to pull in relevant text from the internet. Additionally: - you can now view the tools that the agent is using. - note: web search is only accessible for our OpenAI agent Check out the video below, and get started with the repo today. Repo:

LlamaIndex 🦙

76,371 次观看 • 2 年前

Multi-Agent workflows are the future of AI. OpenAI released new Agent APIs today, and Box built an Agent that combines documents from Box and web search tools to generate answers. Enterprise devs can grab sample code from our GitHub repo to customize with their data.

Multi-Agent workflows are the future of AI. OpenAI released new Agent APIs today, and Box built an Agent that combines documents from Box and web search tools to generate answers. Enterprise devs can grab sample code from our GitHub repo to customize with their data.

Aaron Levie

102,062 次观看 • 1 年前

Today, Search Live is available in English in the U.S. — no Labs opt-in required. ✨ You can now have a free-flowing, back-and-forth conversation with Search using your voice and phone camera. Live in Search combines the power of Google Lens and AI Mode to see and accurately identify objects in front of you. This allows Search to understand exactly what you are looking at and help you find the most relevant information across the web to respond to your questions in real time. Try it today by tapping Live in the Google app (iOS and Android) or Lens, and let us know what you think!

Today, Search Live is available in English in the U.S. — no Labs opt-in required. ✨ You can now have a free-flowing, back-and-forth conversation with Search using your voice and phone camera. Live in Search combines the power of Google Lens and AI Mode to see and accurately identify objects in front of you. This allows Search to understand exactly what you are looking at and help you find the most relevant information across the web to respond to your questions in real time. Try it today by tapping Live in the Google app (iOS and Android) or Lens, and let us know what you think!

Google AI

48,572 次观看 • 10 个月前

108 workflow templates you can use to build AI applications without writing any code. You can use these templates with n8n. I recorded the attached video to show you how it works. n8n is the workhorse behind an open-source, self-hosted AI starter kit you can install on your computer. They are sponsoring this post. Here is the link to the starter kit repository: And here is the spreadsheet with the 108 templates: Whatever idea you have, search for something similar in the list of templates, and you'll save a ton of time. Lately, I've talked to many non-coders who want to start using AI more seriously to build things. n8n is perfect for that.

108 workflow templates you can use to build AI applications without writing any code. You can use these templates with n8n. I recorded the attached video to show you how it works. n8n is the workhorse behind an open-source, self-hosted AI starter kit you can install on your computer. They are sponsoring this post. Here is the link to the starter kit repository: And here is the spreadsheet with the 108 templates: Whatever idea you have, search for something similar in the list of templates, and you'll save a ton of time. Lately, I've talked to many non-coders who want to start using AI more seriously to build things. n8n is perfect for that.

Santiago

78,133 次观看 • 1 年前

AI shouldn’t be locked behind APIs. It should be built into the web itself. The OptimAI Core Node brings compute, data, and intelligence back to the edge - to the Builders! 🎥Watch the installation guide from our CCO, Ricardo, now for Linux users 👉Join the Network Each node turns your machine into part of a global AI cloud, serving: + Search + Retrieval + Embeddings + Compute This is your invitation to build the next generation of Agentic AI.

AI shouldn’t be locked behind APIs. It should be built into the web itself. The OptimAI Core Node brings compute, data, and intelligence back to the edge - to the Builders! 🎥Watch the installation guide from our CCO, Ricardo, now for Linux users 👉Join the Network Each node turns your machine into part of a global AI cloud, serving: + Search + Retrieval + Embeddings + Compute This is your invitation to build the next generation of Agentic AI.

OptimAI Network

28,424 次观看 • 9 个月前

Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️

Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️

Kleiner Perkins

44,860 次观看 • 9 个月前

Proud that Microsoft Edge is the first AI browser in the enterprise. - agentic actions - daily briefing - YouTube summarization - multi-tab analysis - search your history with natural language Bringing together the best of AI and enterprise-grade security.

Proud that Microsoft Edge is the first AI browser in the enterprise. - agentic actions - daily briefing - YouTube summarization - multi-tab analysis - search your history with natural language Bringing together the best of AI and enterprise-grade security.

Mustafa Suleyman

104,008 次观看 • 8 个月前

New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research and reflection until it gathers sufficient information. 🔍 Dynamic query generation, web research via Gemini native Google Search tool, and reflective reasoning. 🧠 Supports different search effors (low, medium, high) for width and depth of search 🛠️ React frontend, LangGraph backend, Tailwind CSS + Shadcn UI components. 🐳 Easily run locally or deploy with Docker. 📄 Answers inlcude citations from gathered web sources.

New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research and reflection until it gathers sufficient information. 🔍 Dynamic query generation, web research via Gemini native Google Search tool, and reflective reasoning. 🧠 Supports different search effors (low, medium, high) for width and depth of search 🛠️ React frontend, LangGraph backend, Tailwind CSS + Shadcn UI components. 🐳 Easily run locally or deploy with Docker. 📄 Answers inlcude citations from gathered web sources.

Philipp Schmid

55,535 次观看 • 1 年前

What to expect this October? We’re building OptimAI Search Engine - the next leap in our network. Not just search. Not just keywords. But contextual search & analysis across the open web and social platforms (X, LinkedIn, Telegram, and more). Powered by the OptimAI community-driven Data Network, it cuts through expensive APIs and unlocks: ✨ Access to the freshest, high-quality, real-time data ✨ Context-aware insights that adapt to your needs ✨ Affordable, open infrastructure for everyone - not just the few This is how we build the foundation for the Agentic AI Systems of tomorrow: intelligent, accessible, and powered by people, not corporations. The future of search is decentralized. And it’s coming soon, powered OptimAI Network. Together we make impact.

What to expect this October? We’re building OptimAI Search Engine - the next leap in our network. Not just search. Not just keywords. But contextual search & analysis across the open web and social platforms (X, LinkedIn, Telegram, and more). Powered by the OptimAI community-driven Data Network, it cuts through expensive APIs and unlocks: ✨ Access to the freshest, high-quality, real-time data ✨ Context-aware insights that adapt to your needs ✨ Affordable, open infrastructure for everyone - not just the few This is how we build the foundation for the Agentic AI Systems of tomorrow: intelligent, accessible, and powered by people, not corporations. The future of search is decentralized. And it’s coming soon, powered OptimAI Network. Together we make impact.

OptimAI Network

43,654 次观看 • 10 个月前

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Paul Klein IV

1,729,049 次观看 • 4 个月前

LLM agents have demonstrated promise in their ability to automate computer tasks, but face challenges with multi-step reasoning and planning. Towards addressing this, we propose an inference-time tree search algorithm for LLM agents to explicitly perform exploration and multi-step planning in interactive web environments. It is the first tree search algorithm for LLM agents that shows effectiveness on realistic and complex web environments: on the challenging VisualWebArena benchmark, applying our search algorithm on top of a GPT-4o agent yields a 39.7% relative increase in success rate compared to the same baseline without search, setting a state-of-the-art success rate of 26.4%. On WebArena, search also yields a 28.0% relative improvement over a baseline agent, setting a competitive success rate of 19.2%.

LLM agents have demonstrated promise in their ability to automate computer tasks, but face challenges with multi-step reasoning and planning. Towards addressing this, we propose an inference-time tree search algorithm for LLM agents to explicitly perform exploration and multi-step planning in interactive web environments. It is the first tree search algorithm for LLM agents that shows effectiveness on realistic and complex web environments: on the challenging VisualWebArena benchmark, applying our search algorithm on top of a GPT-4o agent yields a 39.7% relative increase in success rate compared to the same baseline without search, setting a state-of-the-art success rate of 26.4%. On WebArena, search also yields a 28.0% relative improvement over a baseline agent, setting a competitive success rate of 19.2%.

Jing Yu Koh

124,894 次观看 • 2 年前