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Building a Production-Ready RAG System: Lessons from Turtle Chatbot Development

Building a Production-Ready RAG System: Lessons from Turtle Chatbot Development

Turtosa engineers detail their journey creating a Retrieval-Augmented Generation chatbot using ChromaDB and OpenAI, overcoming LLM limitations like hallucinations and outdated knowledge. The implementation reveals critical insights about document chunking, context window management, and cost optimization for real-world AI applications.
Beyond Hallucinations: Real-World Lessons in Deploying RAG for Enterprise LLMs

Beyond Hallucinations: Real-World Lessons in Deploying RAG for Enterprise LLMs

New research reveals the operational challenges and governance needs when implementing Retrieval Augmented Generation in production systems. A field-tested pilot project demonstrates how RAG mitigates LLM hallucinations while exposing critical gaps in organizational readiness for AI integration.