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automation
Jeanine Banks (via Upwork)
PROJECT ARCHITECTURE
Completed
01 — INPUT
A system that needed to reason over 3D model data and remember context across sessions, rather than starting fresh every conversation.
02 — SYSTEM
3D models ingested into the knowledge base • RAG retrieval pulls relevant context • Agent reasons with persistent memory • Consistent, context-aware output
03 — DELIVERY
3D model ingestion pipeline feeding a RAG knowledge base • Persistent memory layer so the agent retains context across sessions • Full agent integration for end-user interaction
CAPABILITY STACK
RAG • Persistent Memory • AI Agent Development • 3D Data Ingestion
HOW IT WORKS
3D models ingested into the knowledge base • RAG retrieval pulls relevant context • Agent reasons with persistent memory • Consistent, context-aware output
WHAT WE BUILT
3D model ingestion pipeline feeding a RAG knowledge base • Persistent memory layer so the agent retains context across sessions • Full agent integration for end-user interaction
CAPABILITIES
RAG • Persistent Memory • AI Agent Development • 3D Data Ingestion