README.md

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Table of contents

• LLM providers
  
  • OpenAI
    
  • Google
    
• Frameworks
  
  • LlamaIndex
    
  • JigsawStack
    
• Agents
  • LangGraph
    
  • CrewAI
    
  • Fetch.ai
    
• Cloud
  
  • Google Cloud
    
  • Snowflake
    
• Monitoring
  
  • LangSmith
    
• Vector DBs
  
  • Milvus
    
• NLP
  
  • spaCy
    

👾 LLM providers 👾

OpenAI

	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		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		GitHub	YouTube
#3	GUI for the Personal Math Tutor* *Assistants API v1 beta	Next.js GUI for the #2 Personal Math Tutor tutorial		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		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		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		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	LLMs explained	Python and Node.js examples on how LLMs work using the OpenAI SDK top_logprobs parameter		GitHub	YouTube

Google

	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

🛠️ Frameworks 🛠️

LlamaIndex

	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		GitHub	YouTube
#2	GUI for a Travel Recommendation RAG	Streamlit GUI for a Travel Recommendation RAG with response streaming using LlamaIndex and OpenAI LLM		GitHub	YouTube
#3	Eval of the Travel Recommendation RAG	Evaluation of the #2 GUI for a Travel Recommendation RAG tutorial		GitHub	YouTube

JigsawStack

	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

🤖 Agents 🤖

LangGraph

	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		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		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		GitHub	YouTube

CrewAI

	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		GitHub	YouTube

Fetch.ai

	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		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

☁️ Cloud ☁️

Google Cloud

	Tutorial title	Tutorial description	Tech stack	Links
#1	Vertex AI Gemini Pro API starter	Python and Node.js examples on how to use the Vertex AI Gemini Pro API		GitHub	YouTube

Snowflake

	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

📈 Monitoring 📈

LangSmith

	Tutorial title	Tutorial description	Tech stack	Links
#1	LangSmith observability starter	Add observability using LangSmith to the #3 TUI for a LangGraph agent with persistent memory using PostgreSQL tutorial		GitHub	YouTube

🗃️ Vector DBs 🗃️

Milvus

	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		GitHub	YouTube

💬 NLP 💬

spaCy

	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

⭐ Star history ⭐

🤝 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:

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.

📄 License 📄

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