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New actors added to examples/apify/: 1. AI Trading Simulator - 4 trading strategies (mean reversion, momentum, breakout, ML neural) - Technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) - Backtesting with Sharpe/Sortino ratios, max drawdown 2. Agent Training Data Factory - 6 dataset types for AI agent training - HuggingFace-compatible output formats - Real-world data grounding from Apify actors 3. Market Research Swarm - 10 specialized agent roles - Multi-agent competitive intelligence - Consensus-based analysis 4. Financial Stress Testing - VaR calculation (parametric, historical, Monte Carlo) - 10 pre-built crisis scenarios (2008, COVID, flash crash) - Basel III regulatory reporting 5. RAG Knowledge Base Builder - 4 chunking strategies (semantic, fixed, paragraph, sentence) - Multiple embedding models (OpenAI, Cohere, local) - 6 output formats (Pinecone, Weaviate, Qdrant, Chroma, AgentDB) 6. Neural Trader System - LSTM, Transformer, ensemble neural strategies - Portfolio optimization with risk management - Swarm coordination for consensus predictions All actors include: - MCP server integration (@apify/actors-mcp-server) - Comprehensive README with quick start guides - SEO-optimized metadata and keywords - ruv.io references 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
35 lines
817 B
JSON
35 lines
817 B
JSON
{
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"name": "rag-knowledge-builder",
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"version": "1.0.0",
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"description": "Build comprehensive knowledge bases for RAG systems by crawling, chunking, embedding, and indexing content from multiple sources",
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"main": "src/main.js",
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"type": "module",
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"scripts": {
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"start": "node src/main.js",
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"test": "echo \"Error: no test specified\" && exit 1"
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},
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"keywords": [
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"rag",
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"knowledge-base",
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"embeddings",
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"semantic-search",
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"vector-database",
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"llm",
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"chatbot",
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"ai-assistant",
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"crawling",
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"chunking"
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],
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"author": "rUv <info@ruv.io>",
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"license": "Apache-2.0",
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"dependencies": {
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"apify": "^3.1.0",
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"crawlee": "^3.5.0",
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"cheerio": "^1.0.0-rc.12",
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"tiktoken": "^1.0.10",
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"crypto": "^1.0.1"
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},
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"engines": {
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"node": ">=18.0.0"
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}
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}
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