Search results for "hotpotqa"
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
MCP server giving AI a knowledge graph over Obsidian vaults. 13-layer scoring that learns. Local-first, zero cloud.
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
DSPEx - Declarative Self-improving Elixir | A BEAM-Native AI Program Optimization Framework