"Technical assessment for VectorShift"
An advanced, enterprise-grade LLM orchestration pipeline and automation workflow built using VectorShift to streamline data-driven operations.
- RAG Integration: Utilizes vector databases to query and retrieve relevant context for high-accuracy outputs.
- LLM Orchestration: Implements structured prompting nodes to process complex customer queries or operational datasets dynamically.
- End-to-End Automation: Connects custom API integrations and webhooks to trigger automatic actions (like auto-responding or database logging).
- Platform: VectorShift (Low-Code/No-Code AI Automation)
- Backend Fundamentals: Python, API Integrations, JSON Parsing
- AI Concepts: Retrieval-Augmented Generation (RAG), Prompt Engineering, Vector Databases