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@llama_index

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: πŸš€ 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 πŸ—οΈ Complete integration with our VectorStoreIndex, KnowledgeGraphIndex, and custom QueryEngine implementations πŸ“Š 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! Explore the repository: https://t.co/hxYo6UioGu

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