MongoDB

Prasad Pillalamarri

Shounak Acharya

Discover how to leverage MongoDB for building powerful knowledge bases in RAG (Retrieval-Augmented Generation) architectures. This comprehensive guide explores using MongoDB's document model to construct relationship graphs, implement vector search, and create interactive visualizations. Learn step-by-step techniques for storing entities and relationships, querying graph structures, and generating dynamic network visualizations using d3.js. Perfect for developers looking to enhance their RAG systems with MongoDB's flexibility and performance. Includes code examples for creating collections, embedding hierarchical data, and optimizing queries for visualization rendering.

Shounak Acharya

Conteúdo por Shounak Acharya

Construindo uma base de conhecimento e gráficos de visualização para RAG com MongoDB