Havuz

All Jina AI APIs as Unix CLI commands. Search, read, embed, rerank - with pipes.

GateMem: a benchmark and evaluation toolkit for memory governance in multi-principal shared-memory LLM agents.

日本語文書の自然さと読みやすさを再現可能に診断するRust CLI / Deterministic diagnostics for natural and readable Japanese writing

A compounding LLM-wiki, best fit as a personal second brain that organizes and updates itself as it grows, zero upkeep.

Hybrid recommender system + RAG chatbot for IT courses (FastAPI + Express/TS + PostgreSQL), with an independent Data Lakehouse module (Spark

Teknofest 2026 Doğal Dil Ajanları Yarışması 1. Senaryo kapsamında geliştirilen, kamu sektörü için resmi evrak analizi ve taslak üretimi yapa

A consistent, fair, benchmark for structured extraction.

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex

Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.

Better Estonian from your AI agent. Offline MCP server (no third-party calls) wrapping EstNLTK, EKI Reeglid + Riigi Teataja. 28 read-only to

AI-detector auditing toolkit: measures how often a detector flags genuine human writing, how stable its verdict is across seeds, and whether

This repository is a comprehensive, hands on roadmap to Python Mastery and AI Engineering. It is designed to take a learner from the very fo

日本語フリガナ (ルビ) を扱う Rust 製ライブラリ + ローカル HTTP サーバー。ルールはすべてデータ駆動 (TOML)。

Caveman prompting, measured. A two-channel evaluation framework for prompt compression and LLM token efficiency: what input vs output compre

IdeaTaste - A benchmark for research taste: let LLM agents propose research ideas, then check how many of them the research area actually we

Let your users ask your database anything, in their own words — safely. The model fills in a validated Query AST, never a query string, and

Accepted at ISCSLP 2026 · Target-level benchmark for raw-input Chinese news TTS pronunciation

Редактура українського тексту: прибирає сліди ШІ, канцелярит, суржик і кальки, зберігаючи зміст і голос автора. 63 маркери, 30 заборон, скан

🏆 Fast, multilingual PII detection for privacy compliance (PDPA, PDPD, PDP Law, PIPL). 9 entity types, 13+ languages, CPU-only ONNX Runtime

Offline linter that marks LLM-sounding prose. Its statistical model is trained on 2.8B tokens of human text and 11 LLM families, with 0.96 m

日本語の文章から「AI 臭さ」を機械的に拾う Rust 製の Linter