Agentic RAG

Hold

Techniques

A multi-agent RAG approach where specialized agents coordinate retrieval, reasoning, and generation.

Why it's here

Placed in Hold: 2 article(s) of evidence from 2 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 44%.

5The New Stack·9/5/2026research
Building Trust in Agentic RAG with Evidence Trails
The article argues that agentic RAG systems need structured evidence trails because agents can rewrite queries, choose tools, and make multiple retrieval decisions before answering. It recommends logging queries, sources, filters, scores, rejected results, and reasons so users can see citations and operators can audit how an answer was produced.
5Martin Fowler·6/16/2026research
How Bayer Built a Reliable Agentic AI System for Preclinical Research
This case study describes PRINCE, a cloud-hosted platform built by Bayer and Thoughtworks to improve access to preclinical safety study data. The system evolved from keyword search into an agentic retrieval-augmented generation and Text-to-SQL assistant that can answer complex questions and draft regulatory documents, with engineering focused on transparency, recovery, observability, and human oversight.

Your vote is a weighted signal that nudges the radar — never a direct override.

HoldAssessConfidence32%

Business✦ Emerging
For BD, selling Agentic RAG will need to center on reliability and proof, not just automation. When customers ask about risk, BD needs a clear way to explain evidence trails and how they support review, compliance, or internal approval.
Developers✦ Emerging
As Agentic RAG moves from Hold to Assess, developers will need to design retrieval and action flows that are traceable to evidence, not just optimized for the final answer. That increases the need for logging, source attribution, and decision traces in the pipeline.
Product✦ Emerging
For PMs, Agentic RAG in Assess means acceptance criteria need to cover trust and explainability, not just performance. Product priorities will tilt toward features that let users see evidence and understand why the system reached a conclusion.
Testers / QA✦ Emerging
With Agentic RAG in Assess, testing no longer stops at output correctness; it must also verify traceability and evidence consistency. Testers will need additional cases for citations, agent paths, and situations where evidence is missing or conflicting.

as of 9/6/2026

Educated guesses from the trend — you decide.