Deploying generative AI in enterprise settings requires addressing data privacy, latency, and hallucination defense. This guide outlines enterprise generative AI architecture.
Core Architecture Components:
1. Vector Databases: Storing high-dimensional embeddings using Pinecone or pgvector for semantic retrieval.
2. RAG Pipelines: Grounding LLM prompts with exact contextual snippets from private documentation.
3. Guardrail Layers: Filtering PII data, validating output formats, and preventing prompt injection.
Read about our AI Development Services.