Code from tutorials presented on
the Code AI with Rok
YouTube channel
Enjoying what you find in this repository? Your star ⭐ would be greatly appreciated!
Do you want to support me? 👉 Join my community.
Table of contents
| Tutorial title | Tutorial description | Tech stack | Links | ||
|---|---|---|---|---|---|
| #1 | Get response in JSON format | Python and Node.js examples on how to get a JSON response using the OpenAI Chat Completions API |
|
GitHub | YouTube |
| #2 |
Build a 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 |
|
GitHub | YouTube |
| #3 |
GUI for a personal math tutor* *Assistants API v1 beta
|
Next.js GUI for the #2 Build a personal math tutor tutorial |
|
GitHub | YouTube |
| #4 |
Build a 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 |
|
GitHub | YouTube |
| #5 |
TUI for a customer support chatbot* *Assistants API v1 beta
|
Python and Node.js TUIs for the #4 Build a customer support chatbot tutorial |
|
GitHub | YouTube |
| #6 |
TUI for a customer support chatbot with response streaming* *Assistants API v1 beta
|
Python and Node.js TUIs for the #4 Build a customer support chatbot tutorial with response streaming |
|
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) |
|
GitHub | YouTube |
| #8 |
Next.js GUI for assistants with response streaming* *Assistants API v2 beta
|
Next.js GUI for the #2 Build a personal math tutor and #4 Build a customer support chatbot tutorials with response streaming |
|
Coming soon... ✨ | Coming soon... ✨ |
| #9 |
Streamlit GUI for assistants with response streaming* *Assistants API v2 beta
|
Streamlit GUI for the #2 Build a personal math tutor and #4 Build a customer support chatbot tutorials with response streaming |
|
Coming soon... ✨ | Coming soon... ✨ |
| 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 |
|
GitHub | YouTube |
| #2 | Vertex AI Gemini Pro API starter | Python and Node.js examples on how to use the Vertex AI Gemini Pro API |
|
GitHub | YouTube |
| Tutorial title | Tutorial description | Tech stack | Links | ||
|---|---|---|---|---|---|
| #1 | TUI for a LangGraph agent with a web connection via the Tavily tool | Python and Node.js TUIs for a LangGraph ReAct agent using the Tavily tool to get a web connection and an OpenAI LLM |
|
GitHub | YouTube |
| #2 | TUI for a LangGraph agent with memory | Add memory to the #1 TUI for a LangGraph agent with a web connection via the Tavily tool tutorial |
|
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 via the Tavily tool tutorial |
|
Coming soon... ✨ | Coming soon... ✨ |
| Tutorial title | Tutorial description | Tech stack | Links | ||
|---|---|---|---|---|---|
| #1 | Create Llama app | Instructions on how to create a LlamaIndex chat streaming app using Next.js GUI and an OpenAI LLM with 1 command in 2 minutes |
|
GitHub | YouTube |
| #2 | GUI for a travel recommendation RAG | Streamlit GUI for a travel recommendation RAG with response streaming using LlamaIndex with an OpenAI LLM |
|
GitHub | YouTube |
| #3 | Eval of a travel recommendation RAG | Evaluation of the #2 GUI for a travel recommendation RAG tutorial |
|
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 |
|
GitHub | YouTube |
| Tutorial title | Tutorial description | Tech stack | Links | ||
|---|---|---|---|---|---|
| #1 | uAgents starter |
Python examples on how to:
|
|
GitHub | YouTube |
| #2 | uAgents communication | Python examples on how to make Fetch.ai agents communicate with each other locally or remotely using Almanac contracts |
|
GitHub | YouTube |
| Tutorial title | Tutorial description | Tech stack | Links | ||
|---|---|---|---|---|---|
| #1 | Snowflake Cortex LLM functions starter | Python example on how to use the Snowflake Cortex LLM functions |
|
GitHub | YouTube |
| 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 |
|
GitHub | YouTube |
| #2 | Attu starter | Instructions on how to run Attu, a GUI for Milvus Standalone, using Docker |
|
GitHub | YouTube |
| #3 | Text similarity search | Python example on how to do text similarity search with Milvus Standalone (Note: input vector is calculated with spaCy) |
|
GitHub | YouTube |
| 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 |
|
GitHub | YouTube |
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:
- Fork this repository.
- Make your desired changes.
- Create a commit and push the changes.
- Create a pull request.
I'll review your pull request and get back to you as soon as possible.
This project is open source and available under the MIT License.