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Today we’re excited to feature RAGApp v0.1 - which lets any user construct a multi-agent application 🎨🤖 without writing a single line of code 💫 Add any number of agents that you wish, and assign each agent a role, system prompt, and a set of tools. In this example,... show more

LlamaIndex 🦙

117,435 subscribers

93,022 次观看 • 2 年前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

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7 条评论

The Martian 的头像

The Martian2 年前

Some audio would be good!

Alexander De Ridder 的头像

Alexander De Ridder2 年前

RAGApp sounds intriguing. Customizable AI agents without coding? Impressive tech accessibility.

s.h 的头像

s.h2 年前

A demo to set this up would be a great help.

灰机的头像

灰机2 年前

Great, that's what I'm looking for. I have a lot of ideas to develop with it.

vim 的头像

vim2 年前

Who writes the tools?

Nazmul 的头像

Nazmul2 年前

Sounds really great. I guess now it is a matter of time to figure out which agents could be included in ourour complex applications.

灰机的头像

灰机2 年前

Nothing happens when "Add Agent" was clicked. The dropdown list of models doesn't support custom model names. Doesn't work with Groq at all.

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Today at Google Cloud’s Gemini at Work event, we announced Gemini, a new single universal agent for work that has all of your business context and can be used for everything from knowledge work to answering questions, and content creation to coding, all from a single prompt box. It’s built around core architectural principles: ☑️ Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box. ☑️Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface. ☑️Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it. ☑️Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity ☑️Context: Gemini knows your tools, data, and work history and learns how you work the more you use it. ☑️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.

Today at Google Cloud’s Gemini at Work event, we announced Gemini, a new single universal agent for work that has all of your business context and can be used for everything from knowledge work to answering questions, and content creation to coding, all from a single prompt box. It’s built around core architectural principles: ☑️ Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box. ☑️Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface. ☑️Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it. ☑️Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity ☑️Context: Gemini knows your tools, data, and work history and learns how you work the more you use it. ☑️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.

Thomas Kurian

2,171,019 次观看 • 1 个月前

AI Agents can now connect to 100,000+ APIs instantly. Postman's AI Agent builder can turn any API into an MCP server in seconds without writing a single line of Code. You can use it in Claude, Cursor, Windsurf and other AI tools.

AI Agents can now connect to 100,000+ APIs instantly. Postman's AI Agent builder can turn any API into an MCP server in seconds without writing a single line of Code. You can use it in Claude, Cursor, Windsurf and other AI tools.

Shubham Saboo

79,921 次观看 • 1 年前

New Feature: Run an agent without writing a line of code ✨ Our new console feature starts a session, attaches an agent, and lets you control the web via language.

New Feature: Run an agent without writing a line of code ✨ Our new console feature starts a session, attaches an agent, and lets you control the web via language.

Notte

16,104 次观看 • 1 年前

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Jerry Liu

20,457 次观看 • 1 年前

No need to pay $200 to use Operator You can create an agent that uses a web browser without writing a line of code. Combine DeepSeek R1 and Browser Use (free and open source) and you're good to go. (Links and prompt below)

No need to pay $200 to use Operator You can create an agent that uses a web browser without writing a line of code. Combine DeepSeek R1 and Browser Use (free and open source) and you're good to go. (Links and prompt below)

Paul Couvert

2,036,328 次观看 • 1 年前

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

Andrew Ng

128,180 次观看 • 1 年前

How to build an agent that does what you want without writing any code. • This is open-source, so you can host it anywhere • Vendor-neutral, so you can use any model you want • You can set the entire agent loop without writing any code See the GitHub Repository below.

How to build an agent that does what you want without writing any code. • This is open-source, so you can host it anywhere • Vendor-neutral, so you can use any model you want • You can set the entire agent loop without writing any code See the GitHub Repository below.

Santiago

25,450 次观看 • 2 个月前

Wow very easy to create a Codex Site with a Convex DB that your agent can write to. You can make a todo list app that is hosted on Codex Sites, then tell Codex to make a skill that allows the agent to WRITE/EDIT to that todo list db. And then in any chat you can add to your list. Here's example.

Wow very easy to create a Codex Site with a Convex DB that your agent can write to. You can make a todo list app that is hosted on Codex Sites, then tell Codex to make a skill that allows the agent to WRITE/EDIT to that todo list db. And then in any chat you can add to your list. Here's example.

Riley Brown

54,081 次观看 • 5 个月前

You can now create AI agents directly from your phone. Replit lets you create them without writing a single line of code and completely for free. Just duplicate the template and you're ready to go. Links below

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Paul Couvert

189,755 次观看 • 1 年前

I just shipped a free crash course on building AI agents without writing a single line of code. In 20 mins, I take one problem through the full agent development lifecycle using just a coding agent. You can use Codex, Claude Code, Antigravity or anything else.

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Shubham Saboo

12,705 次观看 • 1 个月前

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

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Santiago

140,922 次观看 • 11 个月前

Give your Custom Agents any tool 🧰 Until today, Custom Agents could only perform a fixed set of actions. Now, you (and your coding agent) can build any tool you might need. With agent tools (powered by Workers), Custom Agents can turn a doc into a slide deck, take action on any website, and even order your groceries!

Give your Custom Agents any tool 🧰 Until today, Custom Agents could only perform a fixed set of actions. Now, you (and your coding agent) can build any tool you might need. With agent tools (powered by Workers), Custom Agents can turn a doc into a slide deck, take action on any website, and even order your groceries!

Notion

25,977 次观看 • 6 个月前

Now you can use your favorite AI agent to control your Coinbase account (or a sub-account), with Coinbase for Agents. Here’s a quick demo on how to set it up and some of the cool things you can get your agent to do.

Now you can use your favorite AI agent to control your Coinbase account (or a sub-account), with Coinbase for Agents. Here’s a quick demo on how to set it up and some of the cool things you can get your agent to do.

Brian Armstrong

214,032 次观看 • 5 个月前

New short course: Serverless Agentic Workflows with Amazon Bedrock. Learn to build and deploy serverless agents in this course created with Amazon Web Services and taught by Mike G Chambers, a Senior Developer Advocate at AWS specializing in GenAI. (Disclosure: I serve on Amazon's board.) Generative AI applications are becoming more complex, sophisticated, and agentic. Agentic applications have workloads that can be hard to predict in advance -- for example, what tools will it decide to call? -- and a serverless architecture helps you efficiently providing on-demand resources. This course teaches you to build and deploy a serverless agentic application. You’ll learn to create agents with tools, code execution, and guardrails, and build responsible agents for business use cases: - Build a customer service bot for a fictional tea mug business that can answering questions, retrieve information, and process orders. - Connect your customer service agent to a CRM to get customer info and log support tickets in real-time. - Explore how you invoke the agent, and see the trace to review the agent’s thought process and observation loop until it reaches its final output. - Attach a code interpreter to your agent, giving it the ability to perform accurate calculations by writing and running its own Python code. - Implement guardrails to prevent your agent from revealing sensitive information or using inappropriate language. By the end, you will have built a sophisticated AI agent capable of handling real-world customer support scenarios. Please sign up here!

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Andrew Ng

81,271 次观看 • 2 年前

If a prototype takes a day, waiting a week for user feedback is "really painful," said Andrew Ng. Well....now you can get user feedback in under 60 seconds :) Whether you're prototyping a feature or building a full fledged product, learn how to build an AI-powered user research system that automatically generates user personas, conduct interviews, and synthesize insights. All in <60 seconds. Includes a full code notebook, recorded tutorial, and docs. The stack 🤖 fast inference 🤖 's LangGraph for orchestrating multi-agent workflows 🤖 's LangSmith for tracing and evaluating

If a prototype takes a day, waiting a week for user feedback is "really painful," said Andrew Ng. Well....now you can get user feedback in under 60 seconds :) Whether you're prototyping a feature or building a full fledged product, learn how to build an AI-powered user research system that automatically generates user personas, conduct interviews, and synthesize insights. All in <60 seconds. Includes a full code notebook, recorded tutorial, and docs. The stack 🤖 fast inference 🤖 's LangGraph for orchestrating multi-agent workflows 🤖 's LangSmith for tracing and evaluating

Sarah Chieng

231,338 次观看 • 1 年前

This is awesome for those learning to build AI Agents: It's a challenge where you'll need to build an autonomous agent to survive in a world full of zombies. It's super fun, and it's 10x better than reading yet another tutorial. Here, you'll need to write code if you want to solve the problem. This challenge is sponsored by OutSystems, a platform for building and deploying enterprise-grade software. They have the Agent Workbench that you can use to build agentic systems. To join the challenge, you can visit:

This is awesome for those learning to build AI Agents: It's a challenge where you'll need to build an autonomous agent to survive in a world full of zombies. It's super fun, and it's 10x better than reading yet another tutorial. Here, you'll need to write code if you want to solve the problem. This challenge is sponsored by OutSystems, a platform for building and deploying enterprise-grade software. They have the Agent Workbench that you can use to build agentic systems. To join the challenge, you can visit:

Santiago

22,531 次观看 • 1 年前

New agentic short course! Multi AI Agent Systems with crewAI, built with CrewAI's founder and CEO João Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll work with key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. And you'll build your own multi-agent systems that can tackle complex tasks. I think you'll find it both productive and fun to design agents and watch them collaborate to get things done. Let me know what you think! I believe multi-agent architectures will drive significant progress in AI systems. Please sign up here!

New agentic short course! Multi AI Agent Systems with crewAI, built with CrewAI's founder and CEO João Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll work with key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. And you'll build your own multi-agent systems that can tackle complex tasks. I think you'll find it both productive and fun to design agents and watch them collaborate to get things done. Let me know what you think! I believe multi-agent architectures will drive significant progress in AI systems. Please sign up here!

Andrew Ng

350,597 次观看 • 2 年前

Google Firebase Studio is insanely good! I just built a multi-agent legal team from a single text prompt without writing a single line of Code. A full stack multi-agent app ready to deploy in less than 30 mins. And it's available for free in preview. Crazy!!

Google Firebase Studio is insanely good! I just built a multi-agent legal team from a single text prompt without writing a single line of Code. A full stack multi-agent app ready to deploy in less than 30 mins. And it's available for free in preview. Crazy!!

Shubham Saboo

42,307 次观看 • 1 年前