RAG Stack

Retrieval-Augmented Generation workflows — grounded answers backed by your own data.

Overview

The RAG stack pairs an embedding model + vector store with a generative LLM and a reranker. Workflows in this stack share the same architectural spine: ingest → chunk → embed → retrieve → rerank → generate → cite. Use this stack when factuality, citation and freshness matter more than open-ended creativity.

Workflows in this stack

Retrieval-Augmented Generation — Retrieval-Augmented Generation grounds an LLM in private knowledge by retrieving relevant context from a vector database before generation.
Research Assistant — A research assistant decomposes complex questions, retrieves grounded sources, reasons across them and synthesises cited answers.
Customer Support AI — Customer Support AI deflects tickets and assists agents by combining grounded retrieval, brand-voice tuning, escalation policies and live observability.
Enterprise Search — Enterprise search unifies retrieval across SaaS apps, file stores and internal wikis behind a single grounded interface.
Meeting Preparation — Auto-generate one-page meeting briefs from CRM, news, product usage and prior calls so reps walk in fully prepared.
Account Research — Account research synthesises a one-page briefing for any target account by pulling from public company filings, recent news, LinkedIn activity, prior CRM interactions and product usage signals.
SEO Content Production — SEO content production runs a multi-stage pipeline: a topic-clustering model groups target keywords by search intent, a brief-generation step produces a structured outline with competitor gap analysis, a drafting model writes the article grounded in retrieved SERP evidence, and an editorial QA step flags thin sections, missing entities and unsupported claims.
Content Briefs — Generate SEO content briefs that include SERP analysis, entity coverage, recommended structure and citation targets.
Competitor Monitoring — Continuously monitor competitor pricing, releases and positioning and produce weekly briefings.
RAG Support Bot — A RAG support bot retrieves the most relevant help-centre articles for each inbound query using semantic search, passes the retrieved context to a language model for grounded answer generation, and cites every source by article title and section.
Knowledge Base Generation — Mine resolved tickets and SME notes to generate, deduplicate and maintain a self-serve knowledge base.
Incident Response — On-call copilot that summarises alerts, retrieves runbooks and drafts post-mortems with timeline reconstruction.
Agentic RAG — Agentic RAG upgrades a standard single-shot retrieval pipeline with a planning agent that can reformulate queries, switch retrieval strategies, validate the retrieved evidence against the question and iterate until the answer meets a confidence threshold.
Graph RAG — Use a knowledge graph alongside vector retrieval to ground LLM answers in entity-rich, relationship-aware context.
Hybrid Search — Blend lexical (BM25) and semantic retrieval with reranking for state-of-the-art recall and precision.
Battlecard Generation — Generate and continuously refresh competitive battlecards from public sources, win/loss notes and analyst reports.
RFP Response Automation — RFP response automation ingests an incoming request for proposal, extracts individual questions using a structured extraction model, and retrieves the best-matching answer from a versioned answer library for each question.
Podcast Content Pipeline — Transcribe, chapter, summarise and repurpose podcast episodes into blog posts, social cards and newsletter drops.
Brand Intelligence — Monitor brand mentions across web, social and news with sentiment, crisis detection and weekly executive briefings.
Self-Service Deflection — Self-service deflection classifies inbound questions against the help-centre taxonomy, retrieves the most relevant article or guided troubleshooting flow, and presents the result with an explainability note showing which keywords and intent signals drove the match.
Policy Q&A Bot — Grounded Q&A over internal policies with citation, version awareness and an audit-ready answer log.
RAG Evaluation — Continuous evaluation harness for RAG pipelines with groundedness, faithfulness and answer-relevance scoring.
Vector Index Management — Operational playbook for vector-index lifecycle: schema, chunking, reindex, freshness and tiered storage.
Prior Authorization — Draft and validate prior-authorization packets with payer-rule retrieval and structured field extraction.
Clinical Trial Matching — Screen authorized patient data against versioned trial criteria to prepare candidate matches and missing-data flags for coordinator and investigator review; eligibility and enrollment are not determined.
Payer Policy Q&A — Retrieve versioned payer-policy passages and draft citation-grounded answers for qualified review, with freshness and jurisdiction gaps visible; no coverage, reimbursement, or authorization outcome is promised.
Clinical Evidence Synthesis — Prepare citation-linked evidence summaries from declared literature searches for qualified clinical and methods review, preserving study quality, disagreement, omission, and applicability limits.
Onboarding Assistant — Conversational onboarding assistant grounded in policy, role-specific learning paths and IT setup tasks.
HR Policy Q&A — Self-serve HR policy Q&A with consistent answers, citation and escalation to HR business partners for sensitive cases.
Legal Research Assistant — Prepare source-grounded legal research candidates with citation, court, jurisdiction, date, and treatment metadata for attorney verification; no legal advice or final conclusion is produced.
Compliance Monitoring — Monitor regulatory and policy changes, surface impact on internal controls and draft response actions.
IP Portfolio Analysis — Prepare source-linked patent and trademark portfolio summaries, clusters, and search candidates for qualified IP review; patentability, claim scope, infringement, and freedom-to-operate remain outside the workflow.
Privacy Impact Assessment — Draft PIAs from a system description with grounded checks against GDPR and applicable regional rules.
Literature Review — Run iterative literature reviews with deduplication, evidence grading and citation-ready synthesis.
Citation Graph Mining — Mine citation graphs for influential works, emerging clusters and high-leverage open questions.
Peer Review Assist — Assist peer reviewers with structured weakness analysis and citation-grounded comparison to prior work.
PRD Generation — Draft PRDs from problem statements, user research and prior shipped specs with reviewer-ready structure.
User Research Synthesis — Synthesise interview transcripts into structured insights, jobs-to-be-done and opportunity sizing.
Competitive Feature Tracking — Track competitor feature releases against your roadmap with grounded sourcing and weekly briefings.
Benchmark Bot — Benchmark Bot is a conversational RAG application over the ModelRefs canonical benchmark graph.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to RAG Stack.