AI research assistant stack

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

Open-source stack Fit 86% Advanced LowCost Request build

Why this path

Strong fit: Covers the core capabilities for this workflow.

Covers the core capabilities for this workflow.All planned tools are present in the registry.

Stack

Verified Repository

Qdrant

Open-source vector database for semantic search and retrieval.

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 generation Vector search

Trusted source

Verified Tool

n8n

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

Workflow automation Lead capture

Trusted source

Steps

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

Capabilities covered

Vector search Database storage AI text generation Workflow automation

Tradeoffs

Simpler options launch faster; advanced stacks give more control.