Software Alternatives, Accelerators & Startups

Knock App VS Ollama

Compare Knock App VS Ollama and see what are their differences

Knock App logo Knock App

Power your product notifications with Segment and Hightouch.

Ollama logo Ollama

The easiest way to run large language models locally
  • Knock App Landing page
    Landing page //
    2023-05-05
  • Ollama Landing page
    Landing page //
    2024-05-21

Knock App videos

No Knock App videos yet. You could help us improve this page by suggesting one.

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Ollama videos

Code Llama: First Look at this New Coding Model with Ollama

More videos:

  • Review - Whats New in Ollama 0.0.12, The Best AI Runner Around
  • Review - The Secret Behind Ollama's Magic: Revealed!

Category Popularity

0-100% (relative to Knock App and Ollama)
Developer Tools
53 53%
47% 47
AI
0 0%
100% 100
Web Push Notifications
100 100%
0% 0
Push Notifications
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Knock App and Ollama

Knock App Reviews

6 Best Notification Infrastructure for Modern Applications
Knock is the most powerful notification system, capable of scaling with the users’ demands. Its unified API effortlessly handles the most complex of use cases and offers flexibility in providing user engagement, managing cross-channel workflows, and choosing notification preferences.
Source: geekflare.com

Ollama Reviews

We have no reviews of Ollama yet.
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Social recommendations and mentions

Based on our record, Ollama should be more popular than Knock App. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Knock App mentions (4)

Ollama mentions (28)

  • beginner guide to fully local RAG on entry-level machines
    Nowadays, running powerful LLMs locally is ridiculously easy when using tools such as ollama. Just follow the installation instructions for your #OS. From now on, we'll assume using bash on Ubuntu. - Source: dev.to / 3 days ago
  • Devoxx Genie Plugin : an Update
    I focused on supporting Ollama, GPT4All, and LMStudio, all of which run smoothly on a Mac computer. Many of these tools are user-friendly wrappers around Llama.cpp, allowing easy model downloads and providing a REST interface to query the available models. Last week, I also added "👋🏼 Jan" support because HuggingFace has endorsed this provider out-of-the-box. - Source: dev.to / 8 days ago
  • The Easiest Way to Run Llama 3 Locally
    Ollama is an open-source tool for using LLMs like Llama 3 on your computer. Thanks to new research, these models don't need a lot of VRAM, computing power, or storage. They are designed to work well on laptops. - Source: dev.to / 19 days ago
  • Google CodeGemma: Open Code Models Based on Gemma [pdf]
    One thing I've noticed is that gemma is much less verbose by default. [0] https://github.com/ollama/ollama. - Source: Hacker News / about 2 months ago
  • Preloading Ollama Models
    A few weeks ago, I started using Ollama to run language models (LLM), and I've been really enjoying it a lot. After getting the hang of it, I thought it was about time to try it out on one of our real-world cases (I'll share more about this later). - Source: dev.to / 2 months ago
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What are some alternatives?

When comparing Knock App and Ollama, you can also consider the following products

SuprSend - Single Notification API for Every Channel (SMS, Slack, Whatsapp, Email, SMS, Push, App Inbox)

Auto-GPT - An Autonomous GPT-4 Experiment

MagicBell - Your app needs a notification inbox – with real-time sync, web & mobile push, and a UI that matches your brand.

BabyAGI - A pared-down version of Task-Driven Autonomous AI Agent

Courier - Courier is a notification API built for developers. Design once, and deliver to any channel – email, Slack, SMS, push, and more – all through a single API.

AgentGPT - Assemble, configure, and deploy autonomous AI Agents in your browser