Langchain

RAG V: Fusion Retrieval

Fusion Retrieval in Document Search: Combining Semantic and Keyword-Based…

RAG II: Query Transformations

Naive RAG typically splits documents into chunks, embeds them, and retrieves chunks with high semantic…

Pair programming an LLM-app

Set up, develop and debug a RAG

Building a Graph Database with Vector Embeddings: A Python Tutorial with Neo4j and Embeddings

April, an amazing month for Data Science

The past few weeks have been outstanding for Artificial Intelligence at The Deep Hub! We…

Langchain: Revolutionizing Natural Language Processing with Advanced Models and Seamless Integration

RAG and Few-Shot Prompting in Langchain : Implementation

Resume scanner: Leverage the power of LLM to improve your resume