Why Evals Matter | LangSmith Evaluations - Part 1

Evaluation Primitives | LangSmith Evaluations - Part 2

Manually Curated Datasets | LangSmith Evaluations - Part 3

Datasets From Traces | LangSmith Evaluations - Part 4

Pre-Built Evaluators | LangSmith Evaluations - Part 5

Custom Evaluators | LangSmith Evaluations - Part 6

Eval Comparisons | LangSmith Evaluations - Part 7

Evaluations in the prompt playground | LangSmith Evaluations - Part 8

Attach evaluators to datasets | LangSmith Evaluations - Part 9

Unit Tests | LangSmith Evaluations - Part 10

Summary Evaluators | LangSmith Evaluations - Part 11

RAG Evaluation (Answer Correctness) | LangSmith Evaluations - Part 12

RAG Evaluation (Answer Hallucinations) | LangSmith Evaluations - Part 13

[Private video]

RAG Evaluation (Document Relevance) | LangSmith Evaluations - Part 14

Regression Testing | LangSmith Evaluations - Part 15

RAG (evaluate intermediate steps) | LangSmith Evaluations - Part 16

Pairwise Evaluation | LangSmith Evaluations - Part 17

[Private video]

[Private video]

How to evaluate upgrading your app to GPT-4o | LangSmith Evaluations - Part 18

Backtesting | LangSmith Evaluations - Part 19

Online Evaluation (RAG) | LangSmith Evaluations - Part 20

Online Evaluation (Guardrails) | LangSmith Evaluations - Part 21

Dataset Splits | LangSmith Evaluation - Part 22

Repetitions | LangSmith Evaluation - Part 23

Agent Response | LangSmith Evaluation - Part 24

Single Step | LangSmith Evaluation - Part 25

Agent Trajectory | LangSmith Evaluation - Part 26

Corrections + Few Shot Examples (Part 1) | LangSmith Evaluations

Corrections + Few Shot Examples (Part 2) | LangSmith Evaluations

No Code LangSmith Evaluations

Using LangSmith Studio WITHOUT building your agent on LangGraph