Implementing Local RAG with Groq and Llama 3: Phidata Framework Application and Performance Showcase

Implementing Local RAG with Groq and Llama 3: Phidata Framework Application and Performance Showcase

Phidata is a framework designed for building AI agents with memory, knowledge, and tools. https://www.phidata.com/ https://github.com/phidatahq/phidata https://docs.phidata.com/introduction Three Aspects of Phidata Enhancing LLM Functionality: Memory: Phidata stores chat history in a database, allowing large language models to support longer conversations, thereby better understanding and tracking the context of dialogues. Knowledge: By storing business-relevant information in … Read more

Implementing Intelligent Email Customer Service with Llama3, CrewAI, and Groq

Implementing Intelligent Email Customer Service with Llama3, CrewAI, and Groq

1. Chatting If there is one industry that feels the most threatened by the arrival of AI, I believe e-commerce customer service should be on the list. Currently, platforms like Taobao and JD.com primarily use AI customer service for replies, only resorting to human agents if customers are dissatisfied, thus achieving cost reduction and efficiency … Read more