EVA DB
Milvus
Qdrant
Vespa.ai
Weaviate
Zilliz
Meilisearch
Annoy
txtai
Vectara Neural Search
Qdrant
Vespa.ai
Weaviate
Milvus
Haystack NLP Framework
Zilliz
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.
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Based on our record, txtai seems to be a lot more popular than EVA DB. While we know about 62 links to txtai, we've tracked only 1 mention of EVA DB. 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.
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
I tend to agree with this sentiment. Many junior devs and/or those in college want to contribute. Then they feel entitled to merge a PR that they worked hard on often without guidance. I'm all for working with people but projects have standards and not all ideas make sense. In many cases, especially with commercial open source, the project is the base of a companies identity. So it's not just for drive-by ideas to... - Source: Hacker News / 24 days ago
Bootstrapping only works if you have the runway to do it and you don't feel the need to grow fast. With NeuML (https://neuml.com), I've went the bootstrapping route. I've been able to build a fairly successful open source project (txtai 6K stars https://github.com/neuml/txtai) and a revenue positive company. It's a "live within your means" strategy. VC funding can have... - Source: Hacker News / 4 months ago
I agree that in many cases people are puffing their feathers to try to be something they're not (at least not yet). Some believe in the fake it until you make it mentality. With NeuML (https://neuml.com), the website is a simple HTML page. On social media, I'm honest about what NeuML is, that I'm in my 40s with a family and not striving to be the next Steve Jobs. I've been able to build a fairly successful open... - Source: Hacker News / 4 months ago
I'll add txtai (https://github.com/neuml/txtai) to the list. There is still plenty of room for innovation in this space. Just need to focus on the right projects that are innovating and not the ones (re)working on problems solved in 2020/2021. - Source: Hacker News / 4 months ago
Nice project! I've long used Tika for document parsing given it's maturity and wide number of formats supported. The XHTML output helps with chunking documents for RAG. Here's a couple examples: - https://neuml.hashnode.dev/build-rag-pipelines-with-txtai - https://neuml.hashnode.dev/extract-text-from-documents Disclaimer: I'm the primary author of txtai ( - Source: Hacker News / 4 months ago
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/
Vespa.ai - Store, search, rank and organize big data
Weaviate - Welcome to Weaviate
Zilliz - Data Infrastructure for AI Made Easy
