Week 5: RAG Systems and AI Agents - Where Distributed Systems Meet LLMs

1. 1Build a RAG pipeline using a vector database to store and query embeddings
2. 2Configure an AI agent to interact with the RAG pipeline and generate responses
3. 3Test the integration of the RAG system and AI agent using a sample dataset
4. 4Apply the RAG system and AI agent to a real-world problem, such as question answering or text summarization
5. 5Compare the performance of the RAG system and AI agent with other LLM-based approaches

Developers and data scientists on a team can benefit from understanding how RAG systems and AI agents integrate with LLMs to build more effective AI systems

💡 RAG systems and AI agents can be integrated to create more effective and useful LLM-based systems

🤖 Combine RAG systems and AI agents to make LLMs more useful in real-world apps! #LLMs #RAG #AIagents