The AI stack, compared
Side-by-side comparisons of the tools developers use to build with AI — from vector databases and observability to agent frameworks, inference serving, and gateways. Every tool is compared on the facts that matter — license, deployment, and pricing model — and links straight to the vendor. Placement is never sold.
Browse by category
Vector Databases
Store and search embeddings for RAG and semantic search.
11 tools compared
LLM Observability & Evals
Trace, debug, evaluate, and monitor LLM apps in production.
11 tools compared
AI Agent Frameworks
Build LLM agents that plan, call tools, and coordinate.
11 tools compared
Inference & Model Serving
Serve open models yourself or via managed inference APIs.
12 tools compared
Prompt Engineering & Management
Version, test, and evaluate prompts across your team.
10 tools compared
AI Gateways & LLM Routing
One API in front of many model providers, with control.
6 tools compared
RAG Data Ingestion & Parsing
Turn PDFs, docs, and websites into clean text for RAG.
6 tools compared
How we keep this neutral
Order is never sold. Every tool carries a data-confidence badge and a last-verified date; where a fact is unknown we say so rather than guess. Facts are compiled from public docs and vendor sites — always confirm current pricing with the vendor. 59 tools compared across 7 categories.