AIchitect
StacksGraphBuilderCompareGenome
207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
RAGAS
vs
TruLens

Choose RAGAS when…

  • •You're evaluating a RAG pipeline specifically
  • •Context relevance and answer faithfulness are your key metrics
  • •You want an OSS eval framework focused on retrieval quality

Choose TruLens when…

  • •evaluating RAG pipeline quality — groundedness and relevance
  • •want open-source evals with a visual results dashboard
  • •building with LangChain or LlamaIndex and need eval integration
Field
RAGAS
TruLens
Category
Prompt & Eval
Prompt & Eval
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Open Source: Free
Stars
⭐ 7,000
⭐ 2,100
Health
●55 — Slowing
—
Trajectory
— not enough data
— not enough data
Synced
today
—

RAGAS

Evaluates retrieval-augmented generation pipelines on faithfulness, answer relevancy, context precision, and recall.

TruLens

TruLens is an open-source library for evaluating and tracking LLM-based applications, with a focus on RAG pipelines. It provides feedback functions for groundedness, answer relevance, and context relevance, plus a dashboard for visualizing eval results across experiments.

RAGAS Website ↗GitHub ↗
TruLens Website ↗GitHub ↗

Shared Connections (1)

DeepEval

Only RAGAS (4)

LangChainLlamaIndexLangfuseTruLens

Only TruLens (1)

RAGAS
See full comparison in Explore →