AI Engineering & RAG Tools
Simulate RAG retrieval, vector similarity search, fine-tuning dataset builder, and LLM application architectures.
Available AI Engineering & RAG Tools
6 utilitiesFine-Tuning Dataset Builder & Validator
Create, validate, and export high-quality fine-tuning datasets in JSONL format for OpenAI, Llama SFT, and conversational ShareGPT formats.
Fine-Tuning & LoRA Simulator
Simulate adapting a base model to specialized tasks using LoRA rank parameters. Inspect training curves, overfitting, and behavior changes.
Fine-Tuning vs RAG Architecture Advisor
Interactive decision matrix: answer questions about private facts, latency, formatting, and update frequency for an architectural recommendation.
Interactive RAG Pipeline Simulator
Experience full RAG: upload text, configure chunk size and overlap, generate mock embeddings, perform vector search, and synthesize answers.
Vector Search & Nearest Neighbors Lab
Interactive 2D vector database search. Place points, configure a query vector, choose Cosine vs Euclidean distance, and retrieve top-K nearest neighbors.
LLM Application Architecture Builder
Drag-and-drop architectural canvas: assemble Frontend, Prompt Firewalls, Semantic Caches, RAG, Vector DBs, Agents, and Observability.