Progress Agentic RAG is a purpose-built SaaS solution enabling businesses to automatically index documents, files, videos, and audio with a modular, end-to-end retrieval-augmented generation (RAG) pipeline that transforms unstructured data into verifiable, context-aware answers, driving more successful AI initiatives. By embedding retrieval, validation, and automation into existing workflows, it transforms Gen AI from a stand-alone experiment into a trusted, integrated system for real productivity and ROI. Modular RAG Pipeline - Enables fast, flexible AI deployments without engineering overhead - Full integrated no/low-code design - Ingestion, retrieval, and generation capabilities Advanced Retrieval Strategies 30+ retrieval strategies deliver precise, context-rich answers with traceable sources, including: - Semantic search - Exact match - Neighboring paragraph - Knowledge graph hops Semantic Chunking & Smart Segmentation - Improves answer quality by preserving meaning and reducing noise - Breaks content into semantically coherent units (e.g. paragraphs, sentences, video segments) to maintain context integrity and enhance retrieval accuracy Source Traceability & Citations - Builds trust in AI answers and supports compliance by showing where answers were sourced - Included metadata and direct citation enables users to verify origin of responses and meet audit requirements LLM-Agnostic Architecture - Provides flexibility and cost control across AI models - No need to retrain or reindex for each model - Choose models based on performance, privacy, or budget