Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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4 solutions
perplexity-rag-eval-suite-for-smb-knowledge-bases
SMBs that deploy internal RAG bots for employee or customer support find their answers drift as documents change. Without automated evaluation, they only discover quality regressions through user complaints, with no reproducible benchmark and no way to track LLM judging costs.Continuously evaluate your small business RAG knowledge base using Perplexity’s LLM-as-judge, heuristic metrics, and cost-tracked CI gates from REAA’s eval packs.
anthropic-rag-knowledge-base-for-construction-project-specs
Construction SMBs store technical specs in scattered PDFs and drive‑by memory, forcing builders to pause work and call the office. A simple RAG system would give them hands‑free answers, but off‑the‑shelf tools return shallow results from dense technical documents.Let field crews instantly query building specifications, codes, and submittals via a Claude‑powered retrieval pipeline backed by hybrid search.
ollama-rag-knowledge-base-for-retail-inventory
Small retailers waste hours searching through scattered PDFs and spreadsheets to answer customer questions about inventory, causing delays and lost sales.Self-hosted knowledge base that lets retail staff query product inventory docs using natural language, fully local with Ollama.
vercel-ai-gateway-rag-knowledge-base-for-customer-support
Support teams waste time digging through scattered Confluence pages, PDFs, and SharePoint folders to answer customer tickets. Answers are slow and inconsistent, eroding trust and raising costs.Indexes your help articles and answers customer questions in real time via Vercel AI Gateway, with built-in retrieval quality evaluation.