Tiger
Open Source toolkit for building trustworthy LLM applications.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Tiger?
Tiger is an open-source toolkit that includes modules like TigerArmor for AI safety, TigerRAG for embedding and RAG capabilities, and TigerTune for fine-tuning. It helps developers build reliable and safe large language model (LLM) applications.
Key differentiator
“Tiger stands out as an open-source toolkit that integrates AI safety, embedding, and fine-tuning functionalities in one package, making it ideal for developers who prioritize trustworthiness and reliability in their LLM applications.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Core modules like TigerArmor have sparse documentation, leading to trial-and-error usage
Fine-tuning on datasets larger than 10GB can lead to out-of-memory errors without significant resource allocation
Fit analysis
Who is it for?
✓ Best for
Developers looking for a comprehensive toolkit to build safe and reliable LLM applications
Teams that need embedding and RAG capabilities in their projects
Projects requiring fine-tuning of large language models
✕ Not a fit for
Users who require real-time streaming capabilities (Tiger is batch-oriented)
Developers looking for a fully managed service without self-hosting requirements
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with Tiger
Step-by-step setup guide with code examples and common gotchas.