An integration of Ragas LLM evaluation framework with Haystack
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | contract4agents 0.12.1 | 0 | 5 | 20-07-2026 |
| 2 | hyodo 3.2.1 | 0 | 5 | 20-07-2026 |
| 3 | omnicall-llm-caller 1.0.7 | 0 | 5 | 20-07-2026 |
| 4 | stashai 0.1.278 | 0 | 5 | 20-07-2026 |
| 5 | btech-agent-lab 1.14.0 | 0 | 5 | 20-07-2026 |
| 6 | niwaki 1.2.0 | 0 | 5 | 20-07-2026 |
| 7 | textproc/py-docling-haystack - 1.2.0 | 0 | 2 | 13-07-2026 |
| 8 | dabsn 0.1.2 | 0 | 5 | 20-07-2026 |
| 9 | Agentic AI for Code Quality: A Four-Agent Machine Learning System for Repository Refactoring, Public RAG, Groq Reasoning, and Reinforcement Learning | 0 | 5 | 15-07-2026 |
| 10 | tensor-grep 1.58.0 | 0 | 5 | 10-07-2026 |