hsparks-codes 237a66913b Feat: RAG evaluation (#11674) ...

### What problem does this PR solve?

Feature: This PR implements a comprehensive RAG evaluation framework to
address issue #11656.

**Problem**: Developers using RAGFlow lack systematic ways to measure
RAG accuracy and quality. They cannot objectively answer:
1. Are RAG results truly accurate?
2. How should configurations be adjusted to improve quality?
3. How to maintain and improve RAG performance over time?

**Solution**: This PR adds a complete evaluation system with:
- **Dataset & test case management** - Create ground truth datasets with
questions and expected answers
- **Automated evaluation** - Run RAG pipeline on test cases and compute
metrics
- **Comprehensive metrics** - Precision, recall, F1 score, MRR, hit rate
for retrieval quality
- **Smart recommendations** - Analyze results and suggest specific
configuration improvements (e.g., "increase top_k", "enable reranking")
- **20+ REST API endpoints** - Full CRUD operations for datasets, test
cases, and evaluation runs

**Impact**: Enables developers to objectively measure RAG quality,
identify issues, and systematically improve their RAG systems through
data-driven configuration tuning.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

2025-12-03 17:00:58 +08:00

..

testcases

Feat: add context for figure and table (#11547)

2025-11-27 10:21:44 +08:00

unit_test

Feat: RAG evaluation (#11674)

2025-12-03 17:00:58 +08:00