RAG & Knowledge Basesfree

Build an AI It Support Agent with Azure Search, Entra ID & Jira

by Adam BertramUpdated Aug 2026

RequiresGoogle Gemini

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FLOWS

STEPS · 8

Starts from a chat message

On a chat message, answers IT support questions with a Gemini agent that searches knowledge sources and raises Jira tickets.

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On a form submission, runs Google Gemini over aggregated input, emails results via Gmail, and indexes documents into Pinecone for chat-based retrieval.

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Create AI Ready Vector Datasets for Llms with Bright Data, Gemini & Pinecone

On manual run, fetches and extracts web content with Google Gemini, then embeds it and upserts the vectors into a Pinecone store.

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Gemini RAG Question Answering

On webhook, retrieves context from a Qdrant vector store and answers questions with Google Gemini.

by FluxonLab Import

Build an AI It Support Agent with Azure Search, Entra ID & Jira

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Related workflows

Gemini RAG Email And Chat Assistant

Create AI Ready Vector Datasets for Llms with Bright Data, Gemini & Pinecone

Gemini RAG Question Answering