This blog explores how Anansi can be used to build knowledge graphs. The Ramayana, a timeless epic filled with rich characters and relationships, became the perfect source for extracting schemas and visualizing these connections in an interactive way.
This blog introduces readers to the world of graph databases and explores the fundamentals of building graphs.
To get started with graph databases, it's important to understand what graphs are. Don't you agree?
Let’s travel back in time around 1730’s.
A chatbot is a software application that uses AI to have conversations with users, helping them find information or answer questions. We built this chatbot using Retrieval-Augmented Generation (RAG) to improve its responses, Neo4j to store structured data, and Large Language Models (LLMs) to understand and generate natural language.
We created 2 types of Nodes/Labels, "Bank" and "Owner" and 1 type of relationship between them: "IS_OWNED_BY". The blog below lays out how we created a chatbot to query the relationship between the Node Types mentioned using RAG (Retrieval Augmented Generation) techniques.