Question 1

How do I set up Hashbrown with Ollama for local AI models?

Accepted Answer

Install the @hashbrownai/ollama package, configure the backend to stream from Ollama's SDK, and update the UI provider URL. The sample servers show how to adapt for different providers, but note local model performance may vary.

Question 2

Hashbrown vs Vercel AI SDK for React AI features?

Accepted Answer

Hashbrown is specialized for deep integration with Angular and React UIs, offering dynamic component rendering and code execution, while Vercel AI SDK is more lightweight and focused on chat and completion streams without framework-specific hooks.

Question 3

Can Hashbrown handle real-time chat without noticeable lag?

Accepted Answer

It uses HTTP streaming for LLM responses, which can introduce latency based on network and provider speed. For real-time needs, optimize backend proximity and choose low-latency models, but some delay is inherent.

Question 4

Is Hashbrown production-ready for sensitive data apps?

Accepted Answer

It requires a backend for LLM calls, so data security depends on your server implementation. Hashbrown itself doesn't provide built-in anonymization, so you must ensure compliance with regulations like GDPR.

Question 5

How to add custom tools for Hashbrown agents in Angular?

Accepted Answer

Define tool functions in your Node backend using the provider SDK, expose them via the streaming endpoint, and integrate into Angular components using Hashbrown hooks, as detailed in the tool calling recipe docs.

Question 6

Does Hashbrown work with server-side rendering (SSR)?

Accepted Answer

Since it relies on browser-based agents and streaming, SSR compatibility is limited; you may need to handle LLM calls client-side or use workarounds, which isn't covered in the current documentation.

hashbrown

What is hashbrown?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions