Vector Embedding

DevOps

Apr 20, 2025 · Artificial Intelligence

Building a Medical Knowledge Base with RAG: A Step‑by‑Step Example

This article demonstrates how to construct an AI‑powered medical knowledge base for diabetes treatment by preprocessing literature, performing semantic chunking, generating BioBERT embeddings, storing them in a FAISS vector database, and using a RAG framework together with a knowledge graph to retrieve and generate accurate answers.

BioBERTMedical AIRAG

0 likes · 12 min read

Building a Medical Knowledge Base with RAG: A Step‑by‑Step Example

JD Tech Talk

Jun 20, 2024 · Artificial Intelligence

Applying Large Language Models to Courier Operations: Intelligent Operations, Q&A, Prompting, and Agents

This article describes how large language models such as ChatGPT are integrated into courier terminal systems to automate tasks, enhance intelligent voice operations, enable retrieval‑augmented question answering, generate smart prompts, and explore agent‑based workflows, supported by code examples for data extraction, splitting, and embedding.

AI for logisticsIntelligent OperationsRetrieval-Augmented Generation

0 likes · 14 min read

Applying Large Language Models to Courier Operations: Intelligent Operations, Q&A, Prompting, and Agents