Cross-Selling and Re-Selling with LangChain
In this playbook, we'll implement a market basket recommender to find products that can be used for cross-selling. We'll then use this with the Next Product Recommender and LangChain to optimize CLV.
Benjamin Falkeborg
AI Engineer & Architect. I designed the personalization architecture for the world's largest jewelry company and automated claims handling for the leading insurance company in the Nordics
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BigQuery-Shopify RAG with LangGraph
In this playbook, we'll build a simple product recommendation system using BigQuery's vector search capabilities combined with LangGraph.
Next Product Recommendations
In this playbook, we will develop the analytical infrastructure for building robust recommendation engines with SQL. I'll show how to use the recommenders as LLM tools, allowing you to incorporate advanced natural language capabilities into your recommendation systems.
Learn LangChain in 7 Easy Steps
In this tutorial, I will teach you LangChain as efficiently as possible by breaking down the framework into seven key components you need to understand to start developing more advanced LLM applications.
Realtime RAG with Redis, Groq & Llama 3
In this tutorial, we will build high-performance real-time Retrieval Augmented Generation (RAG) chains using Llama 3, GroqCloud, LangChain, and Redis.
Smart & Private Data Analysis with Llama 3
In this tutorial, we'll explore how to generate insights from BigQuery using Llama 3 and Langchain. The focus will be on handling errors gracefully and feeding them back into the chain for iterative improvement.