Nicheloom visitors: 14,046 all-time · 8,445 in the last 7 days

The opportunity tracker for new startups.

Today: 1,383 launchs · Niche of the day: document and PDF processing tools · See full report →

rag_control

Runtime governance and policy controls for RAG systems

Get picks like this daily. The day's top launches, AI/tech news, and a weekly opportunity spotlight — straight to your inbox.

This is 1 of 44 launches in rag developer frameworks and tools — see how it stacks up on momentum and crowding →

21 other launches read as similar to this one →

Details

External ID
1278041
Source
PH
Company
—
Product
rag_control
Website domain
producthunt.com
Launched
Oct. 13, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.95
Tags
Developer Tools, GitHub

Description

A Python control layer for governing RAG applications at runtime. Define generation policies, filter retrieval by document metadata and user context, apply organization-level rules, and inspect decisions with audit logs, traces, and metrics. Works with your existing LLM and vector-store adapters. Built by RetrievalLabs, which is making enterprise software development end-to-end AI-native.

Enrichment

Niche
rag developer frameworks and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
runtime governance and policy controls for rag systems
Manually corrected
False

Could you build this?

Yes It is an open-source Python middleware library implementing metadata filtering, prompt governance policies, and logging hooks around standard LLM/vector-db calls.

Competitors

Other products that read as similar to this one — 21 launches clear the similarity bar, closest 8 shown.

Attention rank: #1 of 22 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

Other launches for this product