AI-Driven Operational Data Intelligence
summary
A RAG-based operational intelligence system is built that combines langchain with vector search (ElasticSearch, MongoDB Atlas Vector search, PostgreSQL vectors) and cloud runtimes like AWS Bedrock to feed LLMs (OpenAI GPT‑4, Llama 3.2, Anthropic, Cloud 3.5 Sonet). A retail chatboard answers natural language queries in real time, returns exact facts (customer purchase $1,200; Apple sales: iPhone 1, MacBook Pro 1, Airpods 2; two customers returned items), and reduces hallucinations by retrieving context from indexed operational data.
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chapters (9)
- 0:00AI-driven operational intelligence
- 2:24Predicting business outcomes
- 6:59AI benefits in decisions
- 9:48AI implementation challenges
- 12:59Future AI trends
- 15:32LLMs and RAG models
- 21:11Building AI systems
- 25:01AI chatbot demo
- 29:00Q&A
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