Software Alternatives & Reviews

Vector Vault VS txtai

Compare Vector Vault VS txtai and see what are their differences

Vector Vault logo Vector Vault

Unleash the full potential of Generative AI

txtai logo txtai

AI-powered search engine
Not present
  • txtai Landing page
    Landing page //
    2022-11-02

Vector Vault videos

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txtai videos

Introducing txtai

More videos:

  • Review - Dive Into TxtAI Engine of NLP WorkFlows: Building Pipelines, Workflow & RDBMS For Embedding vectors.

Category Popularity

0-100% (relative to Vector Vault and txtai)
Databases
21 21%
79% 79
Search Engine
10 10%
90% 90
Platform As A Service (PaaS)
Utilities
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, txtai seems to be more popular. It has been mentiond 62 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.

Vector Vault mentions (0)

We have not tracked any mentions of Vector Vault yet. Tracking of Vector Vault recommendations started around Jul 2023.

txtai mentions (62)

  • What contributing to Open-source is, and what it isn't
    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 / 17 days ago
  • Bootstrap or VC?
    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 / 3 months ago
  • Ask HN: What happened to startups, why is everything so polished?
    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
  • Are we at peak vector database?
    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
  • Show HN: Open-source Rule-based PDF parser for RAG
    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
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What are some alternatives?

When comparing Vector Vault and txtai, you can also consider the following products

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/

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

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

Weaviate - Welcome to Weaviate

Vespa.ai - Store, search, rank and organize big data

Zilliz - Data Infrastructure for AI Made Easy