AI Document Chat & Vector Search Automation
Автор: Godwin Agbon
Загружено: 2026-02-07
Просмотров: 30
Описание:
AI document chat system that enables users to upload policy documents (Word and PDF) into Microsoft OneDrive via a public API and query their contents through a conversational interface. Uploaded documents are automatically processed, split into chunks, embedded, and stored in a vector database to support accurate retrieval-augmented responses. A cron-job scheduler runs the workflow every 5 minutes to continuously sync and index newly added documents.
Workflow Benefits:
• Automated document ingestion: Eliminates manual processing by automatically detecting and indexing new files.
• Near real-time updates: Cron-based execution ensures the knowledge base stays fresh with minimal latency.
• Scalable document handling: Supports multiple document formats (PDF, DOC) and large file volumes.
• Improved response accuracy: Vector embeddings enable context-aware, relevant AI answers.
• Low-maintenance architecture: n8n orchestration reduces operational overhead and simplifies updates.
• Seamless user experience: Users can upload documents and start chatting immediately without technical setup.
Live Chat Endpoint:
https://n8nagb.onrender.com/webhook/0...
Document Upload API (PDF / DOC):
http://aidocupload.letstech.com.ng:19...
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