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Code from YouTube channel
Code AI with Rok

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Table of contents

πŸ‘Ύ LLM providers πŸ‘Ύ

Tutorial title Tutorial description Tech stack Links
#1 Response in JSON format Python and Node.js examples on how to get a JSON response using the OpenAI Chat Completions API Python badge JavaScript badge Node.js badge GitHub YouTube
#2 Personal Math Tutor*
*Assistants API v1 beta
Python and Node.js examples on how to build a Personal Math Tutor using the OpenAI Assistants API v1 beta with the Code Interpreter tool Python badge JavaScript badge Node.js badge GitHub YouTube
#3 GUI for the Personal Math Tutor*
*Assistants API v1 beta
Next.js GUI for the #2 Personal Math Tutor tutorial Next.js badge Tailwind CSS badge Material UI badge GitHub YouTube
#4 Customer Support Chatbot*
*Assistants API v1 beta
Python and Node.js examples on how to build a Customer Support Chatbot using the OpenAI Assistants API v1 beta with the Knowledge Retrieval tool Python badge JavaScript badge Node.js badge GitHub YouTube
#5 TUI for the Customer Support Chatbot*
*Assistants API v1 beta
Python and Node.js TUIs for the #4 Customer Support Chatbot tutorial Python badge JavaScript badge Node.js badge GitHub YouTube
#6 TUI for the Customer Support Chatbot with response streaming*
*Assistants API v1 beta
Python and Node.js TUIs for the #4 Customer Support Chatbot tutorial with response streaming Python badge JavaScript badge Node.js badge GitHub YouTube
#7 TUI for assistants: response polling vs. streaming*
*Assistants API v2 beta
Python and Node.js TUIs for assistants to show the difference between response polling (manual or with a helper) and streaming (with a helper) Python badge JavaScript badge Node.js badge GitHub YouTube
#8 LLMs explained Python and Node.js examples on how LLMs work using the OpenAI SDK top_logprobs parameter Python badge JavaScript badge Node.js badge GitHub YouTube
Tutorial title Tutorial description Tech stack Links
#1 Gemini Pro API starter Python and Node.js examples on how to use the Gemini Pro API Python badge JavaScript badge Node.js badge GitHub YouTube
#2 Vertex AI Gemini Pro API starter Python and Node.js examples on how to use the Vertex AI Gemini Pro API Python badge JavaScript badge Node.js badge GitHub YouTube

πŸ› οΈ Frameworks πŸ› οΈ

Tutorial title Tutorial description Tech stack Links
#1 TUI for a LangGraph agent with a web connection Python and Node.js TUIs for a LangGraph ReAct agent using OpenAI LLM and Tavily tool to get a web connection Python badge JavaScript badge Node.js badge GitHub YouTube
#2 TUI for a LangGraph agent with memory Add memory to the #1 TUI for a LangGraph agent with a web connection tutorial Python badge JavaScript badge Node.js badge GitHub YouTube
#3 TUI for a LangGraph agent with persistent memory using PostgreSQL Add persistent memory using PostgreSQL to the #1 TUI for a LangGraph agent with a web connection tutorial Python badge GitHub YouTube
Tutorial title Tutorial description Tech stack Links
#1 Create Llama app with 1 command in 2 minutes Instructions on how to create a LlamaIndex chat streaming app using Next.js GUI and OpenAI LLM with 1 command in 2 minutes Next.js badge GitHub YouTube
#2 GUI for a Travel Recommendation RAG Streamlit GUI for a Travel Recommendation RAG with response streaming using LlamaIndex and OpenAI LLM Streamlit badge GitHub YouTube
#3 Eval of the Travel Recommendation RAG Evaluation of the #2 GUI for a Travel Recommendation RAG tutorial Python badge GitHub YouTube
Tutorial title Tutorial description Tech stack Links
#1 GUI for a Personal Recipe Assistant Streamlit GUI for a Personal Recipe Assistant that generates recipes based on the available ingredients recognized from the uploaded photo and selected preferences by the user Streamlit badge GitHub YouTube

πŸ€– Agents πŸ€–

Tutorial title Tutorial description Tech stack Links
#1 Podcast Prepper Python example using CrewAI, Anthropic LLM and Exa tool, designed for podcast hosts, helping them:
  • research a guest
  • prepare detailed insights about the guest
  • suggest relevant questions for an upcoming episode with the guest
Python badge GitHub YouTube
Tutorial title Tutorial description Tech stack Links
#1 uAgents starter Python examples on how to:
  • build a Fetch.ai agent with a startup task
  • build a Fetch.ai agent with an interval task
  • build a Fetch.ai agent and get its address
  • build a Fetch.ai stateful agent
Python badge GitHub YouTube
#2 uAgents communication Python examples on how to make Fetch.ai agents communicate with each other locally or remotely using Almanac contracts Python badge GitHub YouTube

☁️ Cloud ☁️

Tutorial title Tutorial description Tech stack Links
#1 Snowflake Cortex LLM functions starter Python example on how to use the Snowflake Cortex LLM functions Python badge GitHub YouTube

πŸ—ƒοΈ Vector DBs πŸ—ƒοΈ

Tutorial title Tutorial description Tech stack Links
#1 Milvus Standalone starter Python and Node.js examples on how to install Milvus Standalone using Docker, connect to a Milvus Standalone server and list all Milvus collections Python badge JavaScript badge Node.js badge Docker badge GitHub YouTube
#2 Attu starter Instructions on how to run Attu, a GUI for Milvus Standalone, using Docker Docker badge GitHub YouTube
#3 Text similarity search Python example on how to do text similarity search with Milvus Standalone Python badge Docker badge GitHub YouTube

πŸ’¬ NLP πŸ’¬

Tutorial title Tutorial description Tech stack Links
#1 Add a new entity label to NER Jupyter Notebook example on how to add a new entity label to spaCy's default NER model Jupyter Notebook badge GitHub YouTube

⭐ Star history ⭐

Star History Chart

🀝 Contributing 🀝

Thank you for considering contributing to my repository. While I don't accept direct additions of tutorials, I warmly welcome contributions in the following forms:

  • Reporting major issues: Found a bug, or error? Feel free to open an issue on GitHub. Be sure to provide as much detail as possible, including steps to reproduce the issue.
  • Fixing minor issues: Found a typo, grammatical error, or other small issue? Feel free to open a pull request to fix them directly.
  • Making suggestions: Have an idea how I can enhance my tutorials or topics I should cover? Share your thoughts by creating a new issue outlining your suggestion. I'll carefully consider all reasonable ideas.

To contribute, do the following:

  1. Fork this repository.
  2. Make your desired changes.
  3. Create a commit and push the changes.
  4. Create a pull request.

I'll review your pull request and get back to you as soon as possible.


πŸ“„ License πŸ“„

This project is open source and available under the MIT License.