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Lexis Link enables building semantic bases and querying them in natural language, with traceability and gap detection via RAG. Demo at lexis-link.vercel.app

domingo, 17 de agosto de 2025 • 2 min read • Q2BSTUDIO Team

Artificial-Intelligence-

Lexis Link is a platform designed to build semantic knowledge bases and query them in natural language, allowing AI agents to identify and cite exactly which sources were used to generate each response

Demo available at https://lexis-link.vercel.app/ Operational architecture uploaded content -> embedding generation -> Redis index -> semantic search -> knowledge gap detection

Developed by Q2BSTUDIO, a custom software and application development company specializing in artificial intelligence and cybersecurity. Q2BSTUDIO offers comprehensive custom software and tailored application solutions focused on results

At Q2BSTUDIO, we integrate artificial intelligence into business projects, offering services such as AWS and Azure cloud services, business intelligence services, AI agent implementation, and Power BI solutions with a focus on security and cybersecurity compliance

Motivation and technical advantage Lexis Link was born to resolve the opacity in AI agent responses and to turn static knowledge bases into traceable, real-time updatable resources

Migration and benefits we migrated from FAISS to Redis Stack to transform a batch flow into a dynamic application with instant updates, automatic persistence, production readiness, and trust tracking using Redis sets

Technical implementation summary Redis search index with enriched metadata including author, title, year, page, and chunk attributes, in addition to vector fields optimized for semantic searches with distance metrics such as cosine and FLOAT32 vectors. Embedding caching reduces latency and improves the experience on repeated queries

RAG optimization and gap detection the system measures result confidence and logs low-confidence queries in Redis sets for later review and knowledge enrichment. This generates automatic content recommendations and a continuous improvement cycle

Performance and scaling real-time semantic search achieves averages below 100ms on queries over recently loaded content, and the design allows distributed scaling with Redis clusterable architecture for production environments

Results Redis turns static knowledge bases into dynamic, self-sufficient, and traceable AI systems. At Q2BSTUDIO, we combine expertise in custom software development and artificial intelligence to deliver secure, scalable, business-oriented solutions

Contact and services if you want to develop custom applications, integrate artificial intelligence into your company, or deploy AI agents and Power BI with business intelligence services and AWS and Azure cloud services, contact Q2BSTUDIO for personalized consulting and a practical demo. Visit https://lexis-link.vercel.app/

Keywords custom applications custom software artificial intelligence cybersecurity AWS and Azure cloud services business intelligence services AI for companies AI agents Power BI

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