Skills Data Science Unified Finance Information Retrieval

Unified Finance Information Retrieval

v20260329
alphaear-search
A comprehensive skill designed for finance-related information retrieval. It provides dual search capabilities: real-time web searching across multiple engines (Jina, DDG, Baidu) for general market knowledge, and Retrieval-Augmented Generation (RAG) for querying local, proprietary document stores (e.g., daily news). Ideal for financial analysts needing both broad market context and specific internal data insights.
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Overview

AlphaEar Search Skill

Overview

Unified search capabilities: web search (Jina/DDG/Baidu) and local RAG search.

Capabilities

1. Web Search

Use scripts/search_tools.py via SearchTools.

  • Search: search(query, engine, max_results)
    • Engines: jina, ddg, baidu, local.
    • Returns: JSON string (summary) or List[Dict] (via search_list).
  • Smart Cache (Agentic): If you want to avoid redundant searches, use the Search Cache Relevance Prompt in references/PROMPTS.md. Read the cache first and decide if it's usable.
  • Aggregate: aggregate_search(query)
    • Combines results from multiple engines.

2. Local RAG

Use scripts/hybrid_search.py or SearchTools with engine='local'.

  • Search: Searches local daily_news database.

Dependencies

  • duckduckgo-search, requests
  • scripts/database_manager.py (search cache & local news)
Info
Category Data Science
Name alphaear-search
Version v20260329
Size 21.7KB
Updated At 2026-06-10
Language