Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action
To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired ...
Unite.AI2d
Post-RAG Evolution: AI’s Journey from Information Retrieval to Real-Time Reasoning
For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking ...
VentureBeat19d
Medical training’s AI leap: How agentic RAG, open-weight LLMs and real-time case insights are shaping a new generation of doctors at NYU Langone
How NYU Langone is using Llama to enhance patient care NYU Langone is using an open-weight model built on the latest version of Llama-3.1-8B-instruct and the open-source Chroma vector database for ...
Forbes27d
Building A Robust Solution Architecture For Advanced GenAI Solutions
The agent utilizes RAG tools to query a vector database for relevant documents, enriching the context before passing it to the LLM for response generation. Finally, the output is delivered via ...
Yahoo Finance4d
Vector Database Market to Reach USD 10.6 Billion by 2032| SNS Insider
The increasing use of AI-driven applications, such as recommendation engines and fraud detection, is fueling the demand for vector databases.
GitHub22d
LeHuyHongNhat/LLM-RAG-Chatbot-with-LangChain
Chatbot thông minh này được xây dựng với LangChain và RAG (Retrieval-Augmented Generation) để cung cấp trải nghiệm tương tác tự nhiên với hệ thống bệnh viện.
GitHub18d
prompt_llm_vector_christin.py
instructions="You are an expert nurse. Use your knowledge to critique images from Nursing Training Videos.", # print("uploading files and adding them to vector store ...