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before collaborator i built out this whole agentic knowledge base app with an entire source docs → knowledge graph → mcp pipeline... and just never released it. you guys want me to release it?

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Yilio

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83,486 görüntüleme • 3 ay önce •via X (Twitter)

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Exploring Andrej Karpathy Nanochat through a Knowledge Graph Love how this project combines simplicity with power. Want to navigate and understand the entire repo? Check it out here: Plus, you can connect it via MCP to any AI coding assistant and work directly on the repository. Powered by Deep Graph MCP AI at Meta and Groq Inc
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Exploring Andrej Karpathy Nanochat through a Knowledge Graph Love how this project combines simplicity with power. Want to navigate and understand the entire repo? Check it out here: Plus, you can connect it via MCP to any AI coding assistant and work directly on the repository. Powered by Deep Graph MCP AI at Meta and Groq Inc

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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.
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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 👇

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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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i built vault, a self-improving knowledge base that can index your entire life (personal mini agi) it updates while you sleep, supports 50+ integrations like notion, snowflake, datadog, and more when you connect a source (like stripe), all the data becomes a filesystem built for both agents and humans, so you can interact with it through either cli or ui

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I built a pharmacogenomics engine that matches your DNA to the right peptides. 827 providers. 102 peptides. 54,000 evidence chains. An iOS app. A knowledge graph validated against clinical standards. $1,300 in sales. No team. No funding. Just fumes. Looking for angels who get it. DM me.
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I built a pharmacogenomics engine that matches your DNA to the right peptides. 827 providers. 102 peptides. 54,000 evidence chains. An iOS app. A knowledge graph validated against clinical standards. $1,300 in sales. No team. No funding. Just fumes. Looking for angels who get it. DM me.

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I built 36 projects in last 14 months, with AI code. Today, I'm sharing my Coding Docs with you. I use these 7-docs in Cursor/Windsurf to build a knowledge base for AI models. Bookmark this post so you can copy the templates. ↓ 1. Project Requirements Document (PRD)
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I built 36 projects in last 14 months, with AI code. Today, I'm sharing my Coding Docs with you. I use these 7-docs in Cursor/Windsurf to build a knowledge base for AI models. Bookmark this post so you can copy the templates. ↓ 1. Project Requirements Document (PRD)

CJ Zafir

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I have never seen this before! Can someone with railroad knowledge explain to me what’s happening here?
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I have never seen this before! Can someone with railroad knowledge explain to me what’s happening here?

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