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bm25-search

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A Knowledge Graph-Infused RAG framework for multi-hop reasoning over Türkiye-related entities. It utilizes Neo4j for graph storage, Wikidata5M for structured data, and Ollama (Qwen 2.5) for agentic spreading activation to outperform traditional text-based RAG baselines.

  • Updated Apr 25, 2026
  • Python

Cross-tool memory for AI agents. Stitch context across Cursor, Claude Code, Codex, Gemini CLI, Windsurf, Copilot, and 9+ AI tools. Preserves decisions, failed experiments & warnings across sessions. Zero dependencies, MCP + instruction files, BM25 relevance search. Never re-explain your work.

  • Updated Mar 20, 2026
  • Python

Drop files. Get a knowledge graph. No database required. Claude Code skill that compiles raw sources into interconnected Obsidian-compatible markdown wikis with auto-ingest, concept extraction, BM25 search, and drift detection.

  • Updated Apr 7, 2026
  • Python

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