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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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2 solutions

databricks-rag-pipeline-for-insurance-policy-analysis
Databricks RAG Pipeline for Insurance Policy Analysis
Insurance brokers routinely waste hours manually searching through lengthy policy PDFs to answer coverage questions. Ambiguous phrasing and inconsistent document formats make keyword search unreliable.A retrieval‑augmented generation service that lets small insurance agencies query policy documents with natural language, backed by Databricks LLMs and pgvector.
@reaatech/agent-memory-retrieval@reaatech/agent-memory-storage@reaatech/llm-cache
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anthropic-rag-pipeline-for-google-workspace-smb-email-knowledge-search
Anthropic RAG Pipeline for Google Workspace SMB Email Knowledge Search
SMB teams waste hours digging through Gmail threads and Drive files to find critical information. An AI knowledge agent that indexes Workspace and answers queries with source links would drastically cut search time.Ask questions in plain English and get answers with citations from your entire Google Workspace email and documents – no more manual searching.
@reaatech/rag-eval-core@reaatech/rag-eval-gate@reaatech/rag-eval-cost
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