Rag Accuracy Optimizerv1.3.0

A customer support RAG system for an insurance company that retrieves policy clauses, exclusions, and coverage details to answer agent and customer questions. The skill's schema patterns and semantic clause-based chunking improve answer precision while reducing hallucinated coverage claims. Metadata tagging by policy_id and clause_number enables traceable citations.

An analyst-facing RAG platform that indexes SEC filings, earnings reports, and market research to answer queries about tickers, periods, and financial metrics. The skill's SQL + vector hybrid design combines numeric aggregation from PostgreSQL with semantic search over report sections. Reranking and multi-query retrieval ensure accurate, citation-backed answers.

A healthcare RAG system that helps clinicians quickly retrieve treatment guidelines, drug interactions, and evidence levels from medical literature. Domain-specific chunking (1 chunk per recommendation) and metadata filters on condition and severity reduce irrelevant results. Anti-hallucination safeguards are critical in this high-stakes regulated environment.

A shopping assistant that answers customer questions about product specs, reviews, and comparisons using RAG over catalog data. The skill's hybrid retrieval combines SQL for exact facts (price, SKU) with vector search for semantic review matching. Metadata like product_id and category enables pre-filtering to accelerate search and improve relevance.

A legal-tech RAG tool that lets attorneys query contracts, clauses, and precedents across large document repositories. Article-and-clause chunking plus hierarchical parent-child retrieval gives both granular matches and broader contract context. Retrieval testing and monitoring modules ensure reliable, auditable answers for compliance-sensitive workflows.

A cloud-hosted RAG accuracy platform offered via monthly or annual subscriptions, tiered by document volume, query throughput, and advanced features like reranking and monitoring. Customers integrate via APIs and SDKs, and the platform continuously optimizes chunking and retrieval for their domains. This model suits enterprises that want a managed solution without building RAG infrastructure in-house.

On-premise or VPC-deployed licensing of the RAG optimizer for large organizations with strict data residency, security, or compliance requirements (e.g., banks, hospitals). The package includes schema design consulting, custom chunking strategies, and ongoing accuracy tuning. Annual license fees are supplemented by premium support and professional services.

A project-based consulting model where experts use the skill to design and optimize client RAG pipelines end-to-end — from DB schema and chunking strategy to retrieval tuning and accuracy testing. Deliverables include architecture blueprints, evaluation reports, and production safeguards. This model targets companies that already have engineering teams but need specialized RAG expertise.