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Building Enterprise HR Chatbot RAG Pinecone db using CODEX

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Mohammad A. and Patricia M.
Building Enterprise HR Chatbot RAG Pinecone db using CODEX

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Building Enterprise HR Chatbot RAG Pinecone db using CODEX

๐Ÿ—“๏ธ Date: Tuesday, June 10
๐Ÿ•– Time: 7:00 PM GST
๐Ÿ”— https://nas.io/aiguild/events/ai-show-ai-use-cases-and-new-developments-m8i2

Join us for a hands-on webinar where we walk through how to build an enterprise-ready HR chatbot using Retrieval-Augmented Generation (RAG), Pinecone vector database, and OpenAIโ€™s Codex platform.

Youโ€™ll learn how to:
โ€“ Structure HR data and ingest it into Pinecone for fast semantic search โ€“ Implement RAG pipelines that enhance LLM responses with private enterprise knowledge
โ€“ Use CODEX to automate backend logic, form generation, and API workflows
โ€“ Deploy the solution as a scalable assistant for HR queries like leave policy, onboarding, and compliance

Perfect for developers, data scientists, and AI builders looking to create secure, production-grade chatbots that go beyond generic answers.

๐Ÿ“ Live Demo + Q&A

Reserve your spot and build something real.

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