Meta: Learn how to eliminate LLM hallucinations in career coaching apps using Agentic Workflows and RAG, as seen in the architecture of CVChatly.
The Problem: LLMs often hallucinate career advice or fabricate resume details when they lack specific context.
The Solution: Implementing a Retrieval-Augmented Generation (RAG) pipeline combined with an Agentic Workflow (Plan-Execute-Verify).
The Tech Stack: Python, LangGraph for state management, Pinecone for vector storage, and OpenAI GPT-4o.
Key Takeaway: Moving from a "single prompt" approach to a "multi-agent loop" ensures factual accuracy and personalized career coaching.
