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EVA DB VS Haystack NLP Framework

Compare EVA DB VS Haystack NLP Framework and see what are their differences

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EVA DB logo EVA DB

EVA AI-Relational Database System | SQL meets Deep Learning

Haystack NLP Framework logo Haystack NLP Framework

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

  • Haystack NLP Framework Landing page
    Landing page //
    2023-12-11

Category Popularity

0-100% (relative to EVA DB and Haystack NLP Framework)

EVA DB

Haystack NLP Framework

Search Engine
100 100%
Search Engine
0% 0
Utilities
8 8%
Utilities
92% 92
Databases
100 100%
Databases
0% 0
Communications
0 0%
Communications
100% 100

User comments

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Social recommendations and mentions

Based on our record, Haystack NLP Framework should be more popular than EVA DB. It has been mentiond 5 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

Haystack NLP Framework mentions (5)

  • Haystack DB – 10x faster than FAISS with binary embeddings by default
    I was confused for a bit but there is no relation to https://haystack.deepset.ai/. - Source: Hacker News / 23 days ago
  • Release Radar • March 2024 Edition
    People like to be on the AI bandwagon, but to have good AI models, you need good LLM (large language models). Welcome to Haystack, it's an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. The latest version is a rewrite of the Haystack framework, and includes a new package, powerful pipelines, customisable components, prompt templating, and... - Source: dev.to / about 2 months ago
  • Generative AI Frameworks and Tools Every Developer Should Know!
    Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:. - Source: dev.to / 5 months ago
  • Best way to programmatically extract data from a set of .pdf files?
    But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look. Source: 5 months ago
  • Which LLM framework(s) do you use in production and why?
    Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!?? Source: 6 months ago

What are some alternatives?

When comparing EVA DB and Haystack NLP Framework, you can also consider the following products

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

Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗

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/

LangChain - Framework for building applications with LLMs through composability

txtai - AI-powered search engine

MiniGPT-4 - Minigpt-4

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