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LexiconTrail shows how to build 10x faster agentic AI systems using @nvidia Small Language Models with our advanced indexing capabilities.
This open-source project demonstrates a production-ready architecture that combines specialized SLMs with LlamaIndex's semantic search, knowledge graphs, and multi-modal indexing:
🚀 Multi-agent orchestration with intelligent routing between specialized SLMs for different tasks
⚡ 90% reduction in computational resources while achieving superior accuracy across document QA and reasoning tasks
🏗️ Complete integration with our VectorStoreIndex, KnowledgeGraphIndex, and custom QueryEngine implementations
📊 Real benchmarks showing 240ms response times vs 2400ms for traditional LLM approaches
The system leverages our TreeIndex for structured navigation, DocumentSummaryIndex for hierarchical processing, and ResponseSynthesizer with custom prompts - proving that smaller, specialized models can outperform larger ones when properly orchestrated.
Built by The AI Cowboys!
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