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New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with... show more

Andrew Ng

1,823,417 subscribers

218,703 次观看 • 2 年前 •via X (Twitter)

科学技术教育

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10 条评论

Shiya 的头像

Shiya2 年前

@seldo @llama_index This is an overlap I did not anticipate 🤩

Olu💯 的头像

Olu💯2 年前

@seldo @llama_index I'm new to AI, just wanna study from scratch. Any advice?

Abhinav Elimineti 𝕏 的头像

Abhinav Elimineti 𝕏2 年前

@seldo @llama_index Ranhhhhh haha bags

Kara 🦇 🔊/🔮 的头像

Kara 🦇 🔊/🔮2 年前

@seldo @llama_index Right on time. Amazing knowledge share.

Thinking Garden 的头像

Thinking Garden2 年前

@seldo @llama_index awesome course.

Himanshu Singh 的头像

Himanshu Singh2 年前

@seldo @llama_index One more use case of Javascript 😅

AI Architect 🤖🔧 的头像

AI Architect 🤖🔧2 年前

@seldo @llama_index Nice course for newbies. But if someone wants to build production grade LLM apps, then bookmark the below thread🧵 : 👇

Samarth🦇🔊🦄 | Full Stack Dev ⚛️🥑 的头像

Samarth🦇🔊🦄 | Full Stack Dev ⚛️🥑2 年前

@seldo @llama_index Sounds amazing! Can't wait to dive in and start building with RAG and LlamaIndex. 🚀

Mustapha Mond 的头像

Mustapha Mond2 年前

@seldo @llama_index Wow

Imnasir 的头像

Imnasir2 年前

@seldo @llama_index Thanksgiving

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Introducing RAGs, a Streamlit app that allows you to create and customize your own RAG agent and then use it over your own data, all with natural language 🔥 Directly inspired by OpenAI GPTs, you can converse with an agent to help you do search/retrieval over any data you specify. The app contains three main pages: 🏠 Home Page : Have a “builder agent” build your RAG agent through natural language (you specify the data). ⚙️ RAG Config: Look at configured parameters 🤖 Use your RAG agent! Check out details below 👇 Blog: Repo:

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LlamaIndex 🦙

475,732 次观看 • 2 年前

Ready to build a “Chat with your code” application with ollama, Weaviate, and LlamaIndex 🦙 on Lightning AI ⚡️ Studio? We’ve just published a Lightning AI Studio template that you can simply copy. You’ll be up and running with your Retrieval-Augmented Generation (RAG) pipeline in minutes. Jump right in here:

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Andrew Ng

297,131 次观看 • 2 年前

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!

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Andrew Ng

244,435 次观看 • 2 年前

We’re excited to feature the AI Chatbot Starter 🤖🧰 - a web server powered by AstraDB (@DataStax) and LlamaIndex 🦙 that you can easily spin up to chat over any web documentation 🌐📑 Easily use this as a standalone service or integrate it with your full-stack application. Set it up by simply setting a few credentials and ingesting your documents. A huge shoutout to the @Datastax team for creating this: check it out below 👇 Repo:

We’re excited to feature the AI Chatbot Starter 🤖🧰 - a web server powered by AstraDB (@DataStax) and LlamaIndex 🦙 that you can easily spin up to chat over any web documentation 🌐📑 Easily use this as a standalone service or integrate it with your full-stack application. Set it up by simply setting a few credentials and ingesting your documents. A huge shoutout to the @Datastax team for creating this: check it out below 👇 Repo:

LlamaIndex 🦙

23,939 次观看 • 2 年前

Our first Generative AI short course in JavaScript! GitHub recently reported that JavaScript is again the world’s most popular programming language. To support web developers exploring and developing with generative AI, we just launched a new short course in JavaScript taught by Jacob Lee, founding engineer at . In Build LLM Apps with LangChain.js you’ll learn elements common in AI development, including: (i) Using data loaders to pull data from common sources such as PDFs, websites, and databases (ii) Prompts, which are used to provide the LLM context (iii) Modules to support RAG such as text splitters and integrations with vector stores (iv) Working with different models to write applications that are not vendor-specific (v) Parsers, which extract and format the output for your downstream code to process You’ll also build with the LangChain Expression Language, which lets you easily compose sequences (also called chains) of modules to perform complex tasks using LLMs. Putting all this together, you’ll also work on a conversational question-answering LLM application capable of using external data as context. Please sign up here:

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Andrew Ng

284,362 次观看 • 2 年前

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141,258 次观看 • 2 年前

All Create apps now ship with a built-in Postgres database (powered by Neon) • zero setup. just chat about your app • migrations and queries, added automagically • edit data like a spreadsheet in our viewer • 1 GB free storage Build full stack apps that scale big

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20,058 次观看 • 1 年前

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150,362 次观看 • 2 年前

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101,284 次观看 • 1 年前

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Andrew Ng

142,137 次观看 • 1 年前

Forget about HTML, JavaScript, and CSS. You can build AI and data applications using Python alone! Python is the best programming language out there. You can now use it across the stack. Take a look at Taipy, an open-source Python library to build end-to-end production applications. Star their repository: I recorded a quick video showing how to build a simple chat interface to talk to OpenAI GPT-3.5 using Taipy alone. Something important to keep in mind: Taipy's goal is not to replace web developers but to provide an alternative to those who need to build applications without web experience. If you are a data scientist or someone dealing with data, Taipy will simplify your life considerably. Thanks to the team behind Taipy for collaborating with me on this post. Here is a link to the full demo. Download this code and run it. It takes 30 seconds:

Forget about HTML, JavaScript, and CSS. You can build AI and data applications using Python alone! Python is the best programming language out there. You can now use it across the stack. Take a look at Taipy, an open-source Python library to build end-to-end production applications. Star their repository: I recorded a quick video showing how to build a simple chat interface to talk to OpenAI GPT-3.5 using Taipy alone. Something important to keep in mind: Taipy's goal is not to replace web developers but to provide an alternative to those who need to build applications without web experience. If you are a data scientist or someone dealing with data, Taipy will simplify your life considerably. Thanks to the team behind Taipy for collaborating with me on this post. Here is a link to the full demo. Download this code and run it. It takes 30 seconds:

Santiago

233,915 次观看 • 2 年前

We’re launching a brand new, full-stack vibe coding experience in Google AI Studio, made possible by integrations with the Google Antigravity coding agent and Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with Google Maps 🕹️

Google AI

4,751,593 次观看 • 5 个月前

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with CopilotKit🪁 and taught by Atai Barkai, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on!

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with CopilotKit🪁 and taught by Atai Barkai, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on!

Andrew Ng

214,025 次观看 • 3 个月前