• 13 min read
How to Build a RAG Chatbot Over SharePoint with Azure AI Search and Jinba
Build a RAG chatbot over SharePoint using Azure AI Search for hybrid indexing and Jinba for access control, private generation, and full audit logging.
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Recent Posts
• 11 min read
How to Post Workflow Notifications to Slack with Jinba
Slack notifies but doesn't enforce process. Jinba Flow adds triggers, human-in-loop approvals, and an immutable audit trail to every Slack message.
• 10 min read
Stop Missing Contract Clauses with Automated Review
Buried in NDAs and vendor agreements? Jinba automates first-pass contract review via SharePoint, Azure Document Intelligence, and a private Azure OpenAI model.
• 11 min read
Run RAG Without Sending Data to a Public AI
Build a private RAG pipeline over internal documents using AWS Bedrock Knowledge Base and Jinba, all inside your own VPC with no data leaving your environment.
• 11 min read
Stop Customers Chasing Claim Status with Automatic LINE Updates
Japanese insurers' ops teams manually send claim-status updates over LINE. Jinba automates the send, logs every API response, and monitors quota so customers hear first.
• 11 min read
How to Route Regulated Content to Grok in a Jinba Workflow
Route regulated content through low, medium, and high-risk paths in Jinba Flow using the Grok tool for classification, with every model call logged automatically.
• 10 min read
How to Extract Structured Data with OpenAI in a Jinba Workflow
OCR gives you text, not structure. Jinba's OPENAI_INVOKE turns unstructured docs into JSON inside a workflow, then routes parsed fields to Snowflake or Sheets.
• 13 min read
Search, or Search and Act? 5 Enterprise Tools for Regulated Teams
The real question for regulated teams isn't which tool indexes the most connectors. It's whether the tool can take a compliant action on what it finds, inside a boundary the business controls.
• 11 min read
How to Build the Business Case for AI Powered Enterprise Search (A CFO-Ready Framework)
CFOs kill AI budgets because vendors hand them feature lists, not numbers. This three-part ROI framework quantifies productivity loss, compliance risk, and token cost waste in terms finance teams recognize.