Canopy Development Repository

Development notebooks and pipelines for the Canopy application.

Overview

This repository contains experimental notebooks and production-ready pipelines used to develop and scale Canopy's, such as RAG (Retrieval-Augmented Generation), LlamaStack integration, and AI guardrails.

Structure

Ready to Scale 101 (3-ready-to-scale-101/)

• LlamaStack Introduction: Getting started with LlamaStack for model inference

Ready to Scale 201 (4-ready-to-scale-201/)

• LlamaStack Evaluation: Testing and evaluating Canopy
• GuideLLM Testing: LLM benchmarking and performance analysis

RAG Exploration (5-rag/)

• Embeddings: Vector embedding techniques and models
• Introduction to RAG: Building retrieval-augmented generation systems
• Docling: Intelligent document processing for complex academic content
• Vector Databases: Exploring vector database options (Milvus, Chroma, etc.)

Guardrails (6-guardrails/)

• AI Safety: Implementing guardrails for responsible AI deployment