GenAI

Step by step guide to learn Prompt Engineering. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.

Reporting on the productivity impact of SQL generation with generative AI.

Adam Obeng | Data Scientist, Data Platform Science; J.C. Zhong | Tech Lead, Analytics Platform; Charlie Gu | Sr. Manager, Engineering

Learn how to implement a knowledge graph-based RAG application with LangChain to support your DevOps team.

Large language models (LLMs) have taken the world by storm, demonstrating unprecedented capabilities in natural language tasks. In this step-by-step tutorial, you'll leverage LLMs to build your own retrieval-augmented generation (RAG) chatbot using synthetic data with LangChain and Neo4j.

This post will teach you the fundamental intuition behind RAG while providing a simple tutorial to help you get started.

Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.

Let's look into what Vector Databases are and how they might empower your Machine Learning applications.

And how you can build one easily.