Software Alternatives, Accelerators & Startups

EVA DB VS Dify.AI

Compare EVA DB VS Dify.AI and see what are their differences

EVA DB logo EVA DB

EVA AI-Relational Database System | SQL meets Deep Learning

Dify.AI logo Dify.AI

Open-source platform for LLMOps,Define your AI-native Apps
  • EVA DB Landing page
    Landing page //
    2023-04-17

EVA is an open-source AI-relational database with first-class support for deep learning models. It aims to support AI-powered database applications that operate on both structured (tables) and unstructured data (videos, text, podcasts, PDFs, etc.) with deep learning models.

  • Dify.AI Landing page
    Landing page //
    2023-08-26

EVA DB videos

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Dify.AI videos

Dify.AI Review: The Future of LLMOps Platforms | AffordHunt

More videos:

  • Tutorial - Dify.AI tutorial for beginners:Create an AI app with a dataset within minutes

Category Popularity

0-100% (relative to EVA DB and Dify.AI)
Search Engine
100 100%
0% 0
Productivity
0 0%
100% 100
Databases
100 100%
0% 0
Utilities
24 24%
76% 76

User comments

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Social recommendations and mentions

Based on our record, Dify.AI should be more popular than EVA DB. It has been mentiond 3 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.

EVA DB mentions (1)

  • Using EvaDB to build AI-enhanced apps
    EvaDB plugs AI into traditional SQL databases, so as a first step, we’ll need to install a database. For this article, we’ll use SQLite because it's fast enough for our tests and does not require a proper database server running somewhere. You may choose a different database, if you prefer. - Source: dev.to / 4 months ago

Dify.AI mentions (3)

  • GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
    Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and... - Source: dev.to / 4 months ago
  • Which LLM framework(s) do you use in production and why?
    If you are looking to develop QnA or chat based apps then check out https://dify.ai. Do a quick check and see if it fit your requirements. You can integrate it with your app using the apis it provides. Source: 6 months ago
  • New Discoveries in No-Code AI App Building with ChatGPT
    As an AI newbie, I used to find coding apps from scratch an absolute nightmare! The learning curve was steep as a ski slope, debugging took endless hours, and developing even a simple AI app nearly drove me insane! But since discovering Dify, it has totally revolutionized my life by enabling app development without any coding skills! Source: 9 months ago

What are some alternatives?

When comparing EVA DB and Dify.AI, you can also consider the following products

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Vectara Neural Search - Neural search as a service API with breakthrough relevance

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.

txtai - AI-powered search engine

Prompts - Build a better writing habit