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Agentic RAG HyDE Query Expander

by Alpha-Park
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Python
Remote

genpark-agentic-rag-hyde-hypothetical-document-generator-skill

Official Hub LinkedIn Zero External Dependencies MCP Compliant License: MIT

Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)

Agentic RAG HyDE (Hypothetical Document Embeddings) Query Expander. Bridges dense lexical and semantic gaps by generating diverse hypothetical answer passages from sparse user queries to dramatically boost vector search recall.

🌐 Official GenPark AI Ecosystem Links

Related MCP server: rag-mcp-server

🌟 Key Features

  • 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.

  • Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.

  • Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.

  • Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

🚀 Quick Start

1. Direct Python SDK Usage

from client import AgenticRAGHyDEQueryExpander

def main():
    expander = AgenticRAGHyDEQueryExpander()
    query = "how to prevent postgresql deadlocks on concurrent bulk updates"
    res = expander.generate_hypothetical_passages(query, domain="database", perspectives_count=3)
    print("--- HyDE Hypothetical Expansion ---")
    print(f"Original Query: {res['original_query']}")
    for p in res['passages']:
        print(f"[{p['perspective_id']}] (Weight: {p['dense_retrieval_weight']}): {p['hypothetical_passage'][:100]}...")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

📜 License & Community

Licensed under the MIT License. Copyright © 2026 GenPark AI. Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550

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