Find the best Large Language Models (LLMs), RAG & Agent frameworks, and AI news tailored for the Japanese market.
Features
AIモデル発見
Allows users to discover various LLMs, RAG frameworks, and agents specifically designed for the Japanese market.
最新ニュース提供
Provides the latest news regarding AI models and frameworks, keeping users informed about developments in the AI space.
モデルランキング
Ranks the best AI models based on performance scores, helping users to choose the right model for their needs.
LLM Ranking
Provides detailed comparisons of the latest large language models and their features.
RAG Framework Listing
Offers a curated list of frameworks and tools for retrieval-augmented generation.
Agent Frameworks
Lists top frameworks for building AI agents.
AI Resources Directory
Compiles relevant websites, tools, and learning resources related to AI.
Automatic Documentation
Analyzes code, README, and configuration files to generate interactive documentation.
AI Assistant
Provides a conversational interface for user inquiries regarding the code repository.
Multi-language Support
Supports multiple programming languages for broader use.
Quick Scan & Detailed Investigation Modes
Offers quick scan for complex queries and detailed research mode for in-depth analysis.
パフォーマンスランキング
最新のAIモデルの性能を比較し、各モデルのスコアを表示します。
ベンチマーク評価
lmarenaやopen_llm_leaderboardを基にした客観的な評価基準によるパフォーマンス分析。
詳細フィルターオプション
ユーザーが特定のタスクやモデルの情報にアクセスできるように、詳細なフィルター機能を提供。
データ取り込みと前処理
多様なソースからデータを収集し、前処理を行うことができます。
ベクトル表現生成
テキストを埋め込みモデルを用いてベクトルに変換し、保存します。
検索と取得
ユーザーのクエリに対して、類似度の高いデータをベクトルデータベースから取得します。
情報生成
取得した情報を基に、生成された回答を提供します。
エージェント構築
AIエージェントが特定の目標達成のために自律的に行動できるシステムを提供します。
マルチエージェント協調
複数のAIエージェント間の協調動作を実現するフレームワークを備えています。
自動化アシスタント
複雑なワークフローを自動化し、様々なタスクを実行します。
データ分析エージェント
データの収集、クリーニング、分析を自動的に行い、洞察を提供します。
最新のAI技術
最新のAIリソース、ツール、フレームワークに関する情報を提供する.
ビデオコンテンツ
視覚的に学ぶためのビデオチュートリアルやデモを提供.
研究と論文
最新のAI研究や論文を収集し、提供.
Automatic Documentation Generation
Analyzes GitHub repositories, generating detailed documentation that explains the project's purpose, architecture, key files, and dependencies, presented in a clear, Wikipedia-like format.
Interactive Graphs
Creates clickable, interactive graphs that intuitively display the structure of the code repository, including class hierarchies, dependency graphs, and project workflows.
AI Conversation Assistant
Powered by Cognition AI, allows users to ask questions about the documentation or code snippets directly, receiving context-aware, accurate responses.
Deep Research Queries
Offers advanced analytical capabilities to detect potential bugs, suggest performance optimizations, and compare features with similar projects.
Product Search
Users can search for products using natural language queries and receive tailored recommendations, images, and direct purchase links.
Multimodal Model
Based on the GPT-4o model, it can handle text, images, and other data formats to produce visual search results.
WhatsApp Integration
ChatGPT search functionality has been extended to WhatsApp, allowing users to query for real-time results through the app.
Trend Search Enhancements
Automatically displays trending search suggestions as users start typing queries, similar to Google’s autocomplete.
Personalized Recommendations
Provides customized shopping recommendations based on previous chat history.
Hybrid Thinking Modes
Offers two reasoning modes: Thinking Mode for complex tasks utilizing more resources for deep thinking, and Non-Thinking Mode for quick responses to simpler questions.
Multilingual Support
Supports 119 languages and dialects, covering major language families including Indo-European, Sino-Tibetan, and Afro-Asiatic.
Agentic Capabilities
Deeply optimized capabilities for code generation and decision-making, with seamless integration into the Qwen-Agent framework for tool calls and multi-turn dialogue.
Question Answering System
Build systems that answer questions based on data sources such as documents and websites.
Chatbot Development
Create intelligent chatbots that respond based on internal data and product information.
Content Generation
Automatically generate reports, articles, and summaries based on existing data sources.
Knowledge Exploration
Construct systems that effectively search large volumes of documents for relevant information and extract insights.
Data Source Integration
Efficiently connects various data sources to large language models to enhance the context and accuracy of generated responses.
Knowledge Discovery
Creates systems that efficiently search through large quantities of documents and data to extract relevant insights.
Modular Design
Allows for the construction of complex RAG applications through flexible pipelines and components.