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Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is an AI architecture that retrieves external documents at query time to ground a language model's responses.

Known aliases

  • RAG
  • RAG pipeline
  • retrieval
  • retrieval-only

Relationships

No evidence-backed relationships are recorded.

Current stories

invest3 publishers

Bank AI job postings climb 49% to 139,819 as agent orchestration grows fastest

AI-related job postings at banks such as JPMorgan Chase, Citigroup and Capital One rose 49% this year to 139,819, according to Draup. Most of the growth is in staff who connect teams of AI agents to business lines and staff who keep those agents in check.

Perspective Coverage

3 publishers
Builder
Builder 25%
Operator
Operator 43%
Investor
Investor 32%

Reality

Evidence40
Adoption30
Hype gap+35
Incentives60
Confidence45
leadership1 publisher

Revenue cycle AI buys faster cash with higher audit risk

Practitioners on the Forbes Technology Council put billing and coding at the top of both the payback list and the risk list, and most of their prescriptions land on retrieval and retention rather than on a human reviewer.

Publishers:forbes.com

Reality

Evidence22
Adoption
Insufficient
Hype gap+14
Incentives74
Confidence41
build1 publisher

Move execution authority out of the model and into the tool boundary

A dev.to design note inserts code gates and a human approval between the model and the tool, which is the right shape, though a policy layer that reads a severity field the model itself wrote has not moved the authority anywhere.

Publishers:dev.to

Reality

Evidence30
Adoption
Insufficient
Hype gap+22
Incentives20
Confidence45

Earlier coverage

  1. A docs bot that refuses to answer is working: the case for an evidence gate over a bigger window

    Build · August 17, 2026 · 1 publisher

  2. Gemini reads your Workspace by default, and the off switch is in the admin console

    Product · August 17, 2026 · 1 publisher

  3. Retrieval Is Not A Cheap Agent, And An Agent Is Not A Smart Retriever

    Build · August 16, 2026 · 1 publisher

  4. Don't start at the model layer: classify inputs by reliability, then let RAG wait

    Build · August 16, 2026 · 1 publisher

  5. Splitting one agent into five is a purchase, not a promotion

    Build · August 15, 2026 · 1 publisher