# NeuroLink vs RAGFlow — Fit & Features

Canonical: https://trutool.co/compare/neurolink-vs-ragflow
Author: Snehil (https://trutool.co/authors/snehil)

Compare NeuroLink and RAGFlow by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### NeuroLink
The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across three inference types: generate, stream, and a calibrated decide (via TypeSafe Jev). MCP-native, voice (TTS/STT/realtime), RAG, memory, file.
Best fit: People and teams evaluating ai memory & retrieval for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read NeuroLink profile](https://trutool.co/tools/neurolink): Read NeuroLink profile

### RAGFlow
RAGFlow is a open-source Retrieval-Augmented Generation (RAG) engine that fuses RAG with Agent capabilities to create a superior context layer for LLMs.
Best fit: People and teams evaluating ai memory & retrieval for a specific workflow.
- Knowledge workflows
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read RAGFlow profile](https://trutool.co/tools/ragflow): Read RAGFlow profile