LLM Stack

The LLM Stack is the modular, multi-layered architecture combining a Vector Database, an Orchestration Framework, and a foundational LLM to power production-grade AI applications.

The LLM Stack defines the essential, multi-layered architecture required to build, deploy, and scale production-grade Large Language Model applications. This stack segments the workflow into four key components: the Data Layer, utilizing Vector Databases like Pinecone or ChromaDB for efficient Retrieval-Augmented Generation (RAG); the Model Layer, featuring proprietary APIs (GPT-4, Claude) or open-source models (Llama 3); the Orchestration Layer, where frameworks such as LangChain or LlamaIndex manage complex prompt chaining and tool execution; and the Operations Layer (LLMOps), which provides observability and monitoring via platforms like Helicone for tracking critical latency and cost metrics. This structure ensures robust performance and enables rapid iteration on AI-driven products, from advanced Q&A bots to autonomous agents.

https://llmstack.tech/architecture-guide