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u/GaGaAdria

r/Rag r/redlighttherapy
▲ 3 r/Rag

Regulatory Intelligence & Gap Analysis RAG

I'm building an internal Regulatory Intelligence & Gap Analysis Platform — basically a self-hosted equivalent of ioni.ai.

The system needs to:

  • Ingest external regulations, standards & guidelines
  • Combine them with internal SOPs, policies, HACCP plans, audit docs, etc.
  • Deliver fast retrieval + strong automated gap analysis (find misalignments, missing controls, risks, and suggest remediations)

I'm going for a proper multi-stage agentic setup with high emphasis on accuracy, faithfulness, and complex reasoning.

Planned Architecture (reason: corporate and pricing restricions)

Stage Technology
Parsing Azure Document Intelligence (Markdown + layout)
Chunking Hierarchical + Semantic
Indexing FAISS (HNSW) + BM25S + rich metadata
Retrieval Hybrid (FAISS + BM25) + RRF + Filters
Reranking Multi-stage (Azure Cohere 4.0 Pro)
Orchestration LangGraph (routing, reflection, critique loops)
Generation Azure GPT models (latest)
Frontend Dash / Dash Enterprise

Key Focus Areas:

  • Strong Gap Analysis agent (compare internal docs vs regulations)
  • Self-reflective / iterative reasoning with critique
  • Excellent citations + auditability

Question for the community:

Has anyone built something similar recently (especially regulatory/compliance/legal domain)?

  • What worked well and what didn’t in the agentic part?
  • Tips for making gap analysis reliable?
  • Recommended patterns for reflection/critic loops in this kind of use case?

Would also love to see examples of solid LangGraph implementations for complex comparison/reasoning workflows.

reddit.com
u/GaGaAdria — 1 month ago
▲ 1 r/Rag

I am looking to build a custom regulatory intelligence platform similar to Ioni.ai. The mission is to automate the mapping of global regulations to internal SOPs and track compliance through a simple but structured 3-node graph: Regulation → Internal Doc → Gap.

The Stack (non-negotiobales in bold, other compontents can be modified/added...)

  • UI/frontend: Dash (Open-source for dev, migrating to Dash Enterprise later).
  • AI models: Azure OpenAI (GPT-5.x + Embeddings).
  • Data: Managed Postgres with pgvector (handling both SQL relationships and vector search).
  • Orchestration: LangGraph for the reasoning workflows.

The Requirements

I need a solo developer who can build this in a local Docker environment for easy migration. Must be comfortable bridging the gap between high-fidelity RAG logic and a polished UI.

Interested?

DM me with a link to a similar RAG project you've shipped.

Ingestion pipeline and embeding: A background worker (Celery/Redis) picks up a new EudraLex PDF. Could be manual uploads for building vector dbs for both categories (global regulations and internal SOPs) at first. Chunking via Azure OpenAI model. Saving to pgvector.

reddit.com
u/GaGaAdria — 1 month ago
▲ 5 r/redlighttherapy

Hey everyone,

I’m choosing between two Alibaba red light therapy panels and I’d really appreciate input from people who have real experience with these manufacturers (not just specs).

Size-wise RL120MAX should be enough for me since full body is not main priority (face and scalp area are main priorities).

Here are the two options:

1) AptRedLight M350

2) Ideatherapy RL120MAX

What I actually care about:

  • Long-term reliability (3–5+ years)
  • Build quality (drivers, cooling)

Is APTRedLight a well established manufacturer or should I avoid and gor for RL120MAX?

reddit.com
u/GaGaAdria — 1 month ago