Get to grips with the LangGraph framework from theory to production ready applications. Code examples are regularly updated to keep you up to speed on the latest LangGraph and LangChain changes.
Purchase of the book includes PDF and EPUB formats, plus all code samples.
AI Agents can solve very complex situations and thatβs why clear communication is essential to achieve the desired results.
This is where LangGraph excels. Communicating with LLMs via code leads to far more reliable results than using only natural language (prompt engineering).
AI Agents are LLMs on steroids! The anatomy of an agent consists of:
AI_AGENT = LLM + MEMORY + TOOLS + PLANNING + DO_WHILE_LOOP
Simply put, AI agents are LLMs with tools, that operate in a loop to accomplish specific goals.
AI agents are here to stay, and LangGraph makes it easy to build them and harness their capabilities:
You can give AI Agents tasks such as:
These are much closer to the capabilities we expect from real AI. Building and orchestrating AI Agents is where LangGraph excels, and this book provides a starting guide into this technology.
Best-practices, techniques and performance optimizations - always in your pocket:
β PDF + EPUB book formats
β All Code Examples
β Access to the Slack community
βοΈ 1 hour of mentoring
Order nowThe Al Agents with LangGraph.js book includes the following:
You can see here the full table of contents. New content is added on a regular basis and updated to the new versions of LangGraph.
Hi there, friend! Iβm Daniel. I believe education is the key to creating a better, more stable, and richer world! Driven by this belief, I started a podcast, wrote two books, and have consistently updated this site for the past seven years. Since 2005, I have built software for companies such as Skillshare, Tradeshift, and ING, tackling diverse tech challenges.
Few things have impressed me as much as seeing ChatGPT in action. Since that moment, Iβve focused all my attention on LLMs and LangChain. After nearly two decades in software development, it feels like Iβm learning how to code all over again.
The examples use JavaScript and Node. You don't need to be an expert but you will need a very basic understanding of how JS works.
If I purchase the package with the 1:1 video call included how will that work?We will schedule the call whenever you are ready and will try to do my best to help you. You can use that time to ask me for help regarding solutions to your LangChain and LangGraph exercises or general career advice. We can also split the 60 minutes into 2 calls of 30 min each. The calls will be done via Zoom or Google Hangouts at a time that is most convenient for you. Just email me if you have any questions and I am sure we can find a solution.
Is the learning material up-to-date?LangGraph is currently undergoing rapid development. Technical books often become outdated soon after release, but since this book is self-published, I can update it as needed. I aim to provide bi-monthly updates.
What if I don't like it? Can I get a refund?I'm sorry to hear that you're not happy with the book! Yes, please send a refund request to daniel@js-craft.io within 15 days of purchase and I will fully refund you the price. While not mandatory, I would appreciate it if you could provide the reason for the refund so I can improve the book.
Do you support Purchasing Power Parity or student discounts?If you live in a country with low purchasing power, or you are a student mail me with your details and some proof (student ID, etc.) and I'll organize a special discount for you.
Can I share the book with my friends and coworkers?The book license is for one person only. I would ask you to respect that and not distribute it to others. Please email me if you have any questions or concerns.
Can I purchase several copies for my team?Yes. Send me an email and I'll organize a team discount and can also offer bulk course enrollment and account setup.