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Use-case stack · teams, labs

RAG over internal docs

Stand up private Q&A over SOPs, BOMs, and handbooks for a lab or small team.

Docs must be curated. Garbage corpus → confident wrong answers. Prefer self-host when data is sensitive.

Preferred / primary

Self-hosted Automation

Dify

Self-hostable LLM app builder (RAG, agents, workflows) with a polished UI.

In this stack: Self-host RAG/agent portal for the team.

Hybrid Research

AnythingLLM

Desktop/self-host RAG chat over your documents with multiple model backends.

In this stack: Desktop/self-host doc chat without greenfield ML.

Strong alternatives

Self-hosted LLM / chat

Open WebUI

Self-hosted ChatGPT-like UI over Ollama / OpenAI-compatible backends.

In this stack: When Ollama is already the lab standard.

Web Research

NotebookLM

Google’s source-grounded notebook for multi-doc Q&A and study guides.

In this stack: Fast grounded notebooks for smaller corpora.

Supporting tools

Self-hosted LLM / chat

LocalAI

Drop-in OpenAI-compatible gateway for local models (LLM, audio, image backends).

In this stack: OpenAI-compatible local gateway.

Self-hosted LLM / chat

Ollama

Simplest path to run open models locally (CLI + local API).

In this stack: Model backend.

Hybrid Research

Obsidian + AI plugins

Local-first notes vault with optional AI plugins (cloud or local backends).

In this stack: Authoring environment for the corpus.

Stacks are editorial starting points — swap tools when policy, budget, or hardware demands it.