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T-NhanNguyen

GraphRAG Llama Index MCP Server

by T-NhanNguyen

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Search a knowledge graph with three modes: keyword lookup for exact terms like tickers, entity connections for relationships, and thematic overview for broad patterns.

Instructions

Search the GraphRAG knowledge base with THREE distinct modes:

CRITICAL: For ticker symbols (ASTS, RKLB, NBIS) or acronyms, ALWAYS use 'keyword_lookup' FIRST. Semantic search (entity_connections/thematic_overview) can MISS exact ticker matches.

Workflow:

  1. Ticker/Acronym Query → Use 'keyword_lookup' to find raw mentions

  2. If found → Extract entity names from results

  3. Then use 'entity_connections' or 'thematic_overview' with full entity names for deeper analysis

Mode Selection Guide:

  • 'keyword_lookup': Direct BM25 retrieval for EXACT terms (tickers, acronyms, specific names) → Returns: Raw text chunks containing the literal search term → Use for: ASTS, NYSE:RKLB, "Direct-to-Cell", specific product names

  • 'entity_connections': Find entities and their knowledge graph relationships → Returns: Entities + relationships + supporting chunks → Use for: Company relationships, competitive landscape, partnerships → Example: After finding 'AST SpaceMobile' via keyword_lookup, search 'AST SpaceMobile competitors partners'

  • 'thematic_overview': High-level patterns and trends across corpus → Returns: Broad thematic context → Use for: Industry trends, macro narratives, sector analysis → Example: 'satellite telecommunications market trends'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query string
modeNo**IMPORTANT**: Use 'keyword_lookup' for ticker symbols and acronyms. Use 'entity_connections' for relationships. Use 'thematic_overview' for broad patterns. Default: 'entity_connections'
topKNoNumber of results (default: 10)
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