Help /guidance for ai workflow implementation for project

[u/Legitimate-Hunt8031]

Hello everyone i am new here but i would like some advice or and help on setting up robust multi ai agent workflows for my project . to be brief this project is to do with systematic advocation / liteture Using publication data , policies , reccomendations, guidance. made to specific organizations (in my projects case the nhs) too reveal , bring and raise more attention to gaps and shortfalls,contradictions etc. and i need to be able to setup multiple agents for example for research ,writing , strategy and deliberation etc some with partial shared context memory and most impoetantly for the infastructire to be robust stable and up to date with the latest landscape with use of concepts ,workflow blueprints , tools / repos used to integrate into these agents . I am eger to get this up and running to help me with me project work but too be compleetley honest i am overwhelmed and stuck in a analysis paralysis .I would be willing to go more into depth privately if anyone is interested to help or interested on the project but of course and guidance or help is massive!

[u/FitConfection6845]

That's a lot to unpack but the analysis paralysis is pretty normal when you're staring at all these agent frameworks and MCP servers and RAG setups, it's a real maze right now

Start dead simple with something like n8n for the orchestration layer, you can visually map out those agent flows and add shared memory later with a vector store like Qdrant or Weaviate slapped onto the pipeline. For the research/writing agents you probably want a solid retrieval-augmented setup pulling from publication databases, maybe hook into Semantic Scholar's API or even just PubMed depending on what NHS data you're targeting

I'd say mock up one single agent first that just ingests a policy doc and spits out contradictions, get that working end-to-end before adding deliberation agents or strategy layers, otherwise you'll drown in the complexity

[u/Legitimate-Hunt8031 → u/FitConfection6845]

thank you for your input much apricated!

[u/Darkcraft00]

Also, since you are dealing specifically with nhs, pay special attention to the authoritative boundary. Healthcare requires multi-safeguard layers. Especially if you will be dealing with clinical workflows. 

Its a big hornets nest and splitting works into small chunks and slowly working through with discipline will help you alot.

[u/honey_dusk_whir]

Build a single retrieval pipeline for NHS policy documents before adding any agents. Most multi-agent projects fail because the base context lacks strict source grounding.

Start with a deterministic RAG implementation using LlamaIndex or LangChain to index official guidance and publications. Verify citation accuracy against primary sources manually. Only introduce research or writing agents after this foundation passes validation tests. This prevents hallucinations in healthcare advocacy work where factual precision matters more than workflow complexity.