Rag Pipelinesv1.0.0

A company builds a Q&A system over internal documentation to reduce support tickets. The RAG pipeline ingests PDFs and wikis, chunks by sections, and uses hybrid retrieval to answer employee queries with citations.

A SaaS company deploys a support assistant that retrieves from product manuals and FAQs. The pipeline includes reranking and grounding to ensure answers are accurate and include document links for verification.

A legal firm uses RAG to analyze contracts and case law. High-stakes domain requires audit logs and human review gates; chunking is structure-aware with metadata for ACL filtering by client.

A development team implements RAG over code repositories for a copilot. Symbol-aware chunking and AST-based splits improve retrieval for coding questions, reducing hallucinations in generated code examples.

A hospital system builds a RAG pipeline over medical guidelines and clinical notes. Retrieval must handle domain-specific terminology, and evaluation monitors source age to avoid stale recommendations.

Offer a managed RAG pipeline as a service, charging monthly based on document volume and query usage. Includes ingestion, retrieval, and evaluation dashboards.

Provide custom RAG pipeline development and tuning for enterprise clients. Revenue from project-based fees plus ongoing maintenance contracts.

License the RAG pipeline as a component for other software products (e.g., CRM, LMS). Charge per installation or per query over a threshold.