SolutionHub

AI research assistant stack

Store sources, retrieve relevant context, and generate grounded research briefs.

Open Source Stack Advanced LowCost Request build

Stack

Verified Repository

Qdrant

Open-source vector database for semantic search and retrieval.

Vector search
Trusted source
Verified Tool

Postgres

Open-source relational database for durable application data.

Database storage
Trusted source
Verified Api

OpenAI API

AI models and APIs for text generation, embeddings, and assistants.

AI text generationVector search
Trusted source
Verified Tool

n8n

Open-source workflow automation for connecting apps, APIs, and data.

Workflow automationLead capture
Trusted source

Steps

  1. Collect the input Capture the request, source, or user event that starts the workflow. 1 day
  2. Process and route Use the stack to enrich, automate, or coordinate the work. 2-4 days
  3. Measure and improve Track outcomes, handoffs, and missing pieces. ongoing

Capabilities covered

Vector searchDatabase storageAI text generationWorkflow automation

Tradeoffs

Simpler options launch faster; advanced stacks give more control.