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You can now use Knowledge Graphs with Claude 3.5 Sonnet in Cursor! 🤩 CodeGPT’s Knowledge Graphs (KG) let you explore your entire codebase. In this case, we're navigating through Anthropic Python SDK. We asked how to send messages in batches and the tool identified the nodes and relationships in... show more

Daniel San

27,116 subscribers

42,005 просмотров • 1 год назад •via X (Twitter)

Юмор Образование Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 12

Фото профиля Daniel San

Daniel San1 год назад

Si nos you can use this in Cursor 🙌

Фото профиля SecurityPal

SecurityPal1 год назад

Questionnaire Concierge is now available as an API! With the new API, you can: 📝 Create new questionnaire request directly 🔍 Instantly search questionnaire details ⚒️ Build custom form and dashboard 🔗: #SecurityPal #SecurityQuestionnaires #API

Фото профиля Pratik Kadam

Pratik Kadam1 год назад

@AnthropicAI I have used it through MCP by @AnthropicAI

Фото профиля Pratik Kadam

Pratik Kadam1 год назад

@AnthropicAI Yes, I have also tried it!

Фото профиля Vaibhav Patil

Vaibhav Patil1 год назад

@AnthropicAI game changer for navigating and understanding codebases

Фото профиля ren simmons

ren simmons1 год назад

@AnthropicAI Incredible

Фото профиля CBir

CBir1 год назад

@AnthropicAI Awesome

Фото профиля Michael Mazarian - AI Kingpin

Michael Mazarian - AI Kingpin1 год назад

@BadTechBandit @AnthropicAI Curious—what’s the one key takeaway here? 👏

Фото профиля Gaurav

Gaurav1 год назад

@AnthropicAI How do you compare this with @github CoPilot with the model options they provide now? Especially with the free or $10 Pro plans

Фото профиля Daniel San

Daniel San1 год назад

@AnthropicAI @github Great question GitHub Copilot is accessible, but CodeGPT goes further by integrating knowledge graphs to provide more accurate, contextual suggestions. At the end of the day, it’s all about quality, and that’s our focus. 💪

Фото профиля Dr.

Dr.1 год назад

@AnthropicAI Can it be used for analyze how to refactor a class/module?

Фото профиля Daniel San

Daniel San1 год назад

@AnthropicAI Yes, absolutely! CodeGPT can already assist with refactoring classes/modules, and we’re working on adding specialized options for refactoring, integrations, and keeping up with language updates. Stay tuned 🙌

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Introducing Codebase Knowledge Graphs in Cursor 🤩 In this video, I’ll walk you through how we went from using a knowledge graph of a repository on the CodeGPT platform to leveraging it directly within the Cursor editor This tool is specifically designed to navigate massive codebases, identify nodes and relationships, and deliver richer context to models specialized in code development, such as Anthropic Claude 3.5 Sonnet Stay tuned for an upcoming tutorial where I'll show you step-by-step how to create knowledge graphs and integrate them seamlessly into your entire software development workflow, from Commits and Pull Requests to even Trello tickets!

Introducing Codebase Knowledge Graphs in Cursor 🤩 In this video, I’ll walk you through how we went from using a knowledge graph of a repository on the CodeGPT platform to leveraging it directly within the Cursor editor This tool is specifically designed to navigate massive codebases, identify nodes and relationships, and deliver richer context to models specialized in code development, such as Anthropic Claude 3.5 Sonnet Stay tuned for an upcoming tutorial where I'll show you step-by-step how to create knowledge graphs and integrate them seamlessly into your entire software development workflow, from Commits and Pull Requests to even Trello tickets!

Daniel San

230,185 просмотров • 1 год назад

We’re kicking off 2025 with everything we've got! 🤩 Introducing CodeGPT's Knowledge Graphs, navigating through the entire Anthropic SDK repository. In this example, we loaded Anthropic Python SDK repository and successfully provided the LLM with all the knowledge it needs to fully understand the codebase. You can leverage these knowledge graphs using the CodeGPT extension in VSCode by simply calling the Codebase command 👏 Stay tuned for more tutorials on how to use this powerful tool! Happy 2025! 🎉

We’re kicking off 2025 with everything we've got! 🤩 Introducing CodeGPT's Knowledge Graphs, navigating through the entire Anthropic SDK repository. In this example, we loaded Anthropic Python SDK repository and successfully provided the LLM with all the knowledge it needs to fully understand the codebase. You can leverage these knowledge graphs using the CodeGPT extension in VSCode by simply calling the Codebase command 👏 Stay tuned for more tutorials on how to use this powerful tool! Happy 2025! 🎉

Daniel San

35,680 просмотров • 1 год назад

The OpenAI Codex repo turned into a Knowledge Graph! 🤩 If you want to start working on massive codebases and serious projects, you need to use CodeGPT’s Knowledge Graphs. Here’s a step-by-step 🧵 guide to create your Codex graph and connect it to VSCode 👇

The OpenAI Codex repo turned into a Knowledge Graph! 🤩 If you want to start working on massive codebases and serious projects, you need to use CodeGPT’s Knowledge Graphs. Here’s a step-by-step 🧵 guide to create your Codex graph and connect it to VSCode 👇

Daniel San

179,466 просмотров • 1 год назад

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

I added a Knowledge Graph to Cursor using MCP. You gotta see this working! Knowledge graphs are a game-changer for AI Agents, and this is one example of how you can take advantage of them. How this works: 1. Cursor connects to Graphiti's MCP Server. Graphiti is a very popular open-source Knowledge Graph library for AI agents. 2. Graphiti connects to Neo4j running locally. Now, every time I interact with Cursor, the information is synthesized and stored in the knowledge graph. In short, Cursor now "remembers" everything about our project. Huge! Here is the video I recorded.

Santiago

155,475 просмотров • 1 год назад

So many people wanted to see my knowledge management system in Claude code, so here it is. All you need is Obsidian, Claude Code, GitHub, and the will to live and you too can set up your second brain in under 2 hours. If you want to learn how to build this, here’s the demo link:

So many people wanted to see my knowledge management system in Claude code, so here it is. All you need is Obsidian, Claude Code, GitHub, and the will to live and you too can set up your second brain in under 2 hours. If you want to learn how to build this, here’s the demo link:

Allie K. Miller

51,555 просмотров • 2 месяцев назад

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Alex Finn

40,858 просмотров • 8 месяцев назад

Knowledge graphs for representing information are unbeatable. After this, you will never build a RAG system without knowledge graphs. It will take you five lines of code to build a knowledge graph with your data. I recorded a video to show you how you can do this. I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post. Cognee is: • Easy to use • Reduces hallucinations • Open-source Here is a link to the repository: They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link:

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Santiago

125,928 просмотров • 8 месяцев назад

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Daniel San

44,049 просмотров • 2 лет назад

Today we open the Zapier SDK to everyone. If you're building with AI agents, this is for you. I've been using this for 2 months. It's totally changed how I do my job. You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access to 8,000+ apps through Zapier and can do anything those APIs can do. I think it’s the most powerful thing we’ve launched in years. Now in open beta. Just give this link right to your agent:

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Wade Foster

174,361 просмотров • 2 месяцев назад

Introducing Auto Documentation powered by Codebase Knowledge Graphs With CodeGPT, we traverse your entire repo to build a Knowledge Graph that understands how your software works. Capturing relationships between classes, modules, and dependencies. This allows us to generate robust, accurate documentation that misses no detail. We’re helping top companies turn months of documentation work into minutes. ✨ Always in sync with your selected branch. ✨ Updates automatically with every commit. ✨ Generates multiple types of documentation, from technical overviews to function-level docs Currently in preview for selected companies. 👉 Want early access? Apply here:

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Daniel San

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Peter Gostev

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Warp

14,009 просмотров • 25 дней назад

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Andrew Ng

634,312 просмотров • 5 месяцев назад

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!

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!

Andrew Ng

244,247 просмотров • 2 лет назад

I know some people look to me for optimism and hope. I try to be that person most of the time. Usually I can find something to grasp onto. These past few days, weeks, and months, what I held onto was the hope that somehow, some way, miraculously, they’d be alive. That we’d witness Ariel and Kfir going back home to their father and Shiri to her husband. That hope was just shattered. So, I got nothin. I have no words. In this moment, I feel total hopelessness. I know deep down that we’ll get through this somehow but in this moment, all I have is deep dark sadness. I’m sorry. And as I saw the official news, I was about to start a TV interview on i24 News. The timing could not possibly have been worse. And that’s quite apparent in the interview. I am sad just looking at myself so sad. All I can say is, we are a resilient nation and we will, somehow, get through this and come out stronger on the other side. Now just to figure out how to get to the other side. 🥺 I failed the Bibas family. We all did. Humanity failed the Bibas family. In one way or another, Hamas will pay for this and will suffer the worst type of torture imaginable. They WILL be held accountable. That I can promise you. I don’t know how and I can’t imagine it now, but we will dance again. Because we always do. For now, just sadness.

I know some people look to me for optimism and hope. I try to be that person most of the time. Usually I can find something to grasp onto. These past few days, weeks, and months, what I held onto was the hope that somehow, some way, miraculously, they’d be alive. That we’d witness Ariel and Kfir going back home to their father and Shiri to her husband. That hope was just shattered. So, I got nothin. I have no words. In this moment, I feel total hopelessness. I know deep down that we’ll get through this somehow but in this moment, all I have is deep dark sadness. I’m sorry. And as I saw the official news, I was about to start a TV interview on i24 News. The timing could not possibly have been worse. And that’s quite apparent in the interview. I am sad just looking at myself so sad. All I can say is, we are a resilient nation and we will, somehow, get through this and come out stronger on the other side. Now just to figure out how to get to the other side. 🥺 I failed the Bibas family. We all did. Humanity failed the Bibas family. In one way or another, Hamas will pay for this and will suffer the worst type of torture imaginable. They WILL be held accountable. That I can promise you. I don’t know how and I can’t imagine it now, but we will dance again. Because we always do. For now, just sadness.

Hillel Fuld

11,860 просмотров • 1 год назад

So you're looking to get into the Star Fox series and you want to know which game to start with and what order to play them in! 🦊⭐️ I got you. 🫵

So you're looking to get into the Star Fox series and you want to know which game to start with and what order to play them in! 🦊⭐️ I got you. 🫵

Amalia Solaris 🐲🌿 | Subathon Purgatory

29,249 просмотров • 2 месяцев назад

Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into structured graphs of entities and relationships for RAG. Learn how agents can automatically handle the time-consuming work of building graphs — extracting entities and relationships (e.g., Product "contains" Assembly, Part "supplied_by" Supplier, Customer review "mentions" Product), deduplicating them, fact-checking them, and committing them to a graph database — so your retrieval system can find right information to generate accurate output. For example, you can use agents to help trace customer complaints directly to specific suppliers, manufacturing processes, and product hierarchies, thus turning fragmented information into queryable business intelligence. Skills you’ll gain: - Build, store, and access knowledge graphs using the Neo4j graph database - Build multi-agent systems using Google’s Agent Development Kit (ADK) - Set up a loop of agentic workflows to propose and refine a graph schema through fact-checking - Connect agent-generated graphs of unstructured and structured data into a unified knowledge graph This course gets into the practicum of why knowledge graphs give more accurate information retrieval than vector search alone, especially for high-stakes applications where precision matters more than fuzzy similarity matching. Sign up here:

Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into structured graphs of entities and relationships for RAG. Learn how agents can automatically handle the time-consuming work of building graphs — extracting entities and relationships (e.g., Product "contains" Assembly, Part "supplied_by" Supplier, Customer review "mentions" Product), deduplicating them, fact-checking them, and committing them to a graph database — so your retrieval system can find right information to generate accurate output. For example, you can use agents to help trace customer complaints directly to specific suppliers, manufacturing processes, and product hierarchies, thus turning fragmented information into queryable business intelligence. Skills you’ll gain: - Build, store, and access knowledge graphs using the Neo4j graph database - Build multi-agent systems using Google’s Agent Development Kit (ADK) - Set up a loop of agentic workflows to propose and refine a graph schema through fact-checking - Connect agent-generated graphs of unstructured and structured data into a unified knowledge graph This course gets into the practicum of why knowledge graphs give more accurate information retrieval than vector search alone, especially for high-stakes applications where precision matters more than fuzzy similarity matching. Sign up here:

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167,710 просмотров • 9 месяцев назад