Software Alternatives & Reviews

Vector Vault VS Annoy

Compare Vector Vault VS Annoy and see what are their differences

Vector Vault logo Vector Vault

Unleash the full potential of Generative AI

Annoy logo Annoy

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.
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  • Annoy Landing page
    Landing page //
    2023-10-10

Vector Vault videos

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Annoy videos

Does Asking for Reviews Annoy My Customers?

More videos:

  • Review - Why Timex Watches Annoy Me | Timex Would Dominate the Market If They Just...
  • Demo - Annoy-a-tron Demonstration

Category Popularity

0-100% (relative to Vector Vault and Annoy)
Databases
100 100%
0% 0
Utilities
0 0%
100% 100
Platform As A Service (PaaS)
Custom Search Engine
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Annoy seems to be more popular. It has been mentiond 35 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.

Annoy mentions (35)

  • Do we think about vector dbs wrong?
    The focus on the top 10 in vector search is a product of wanting to prove value over keyword search. Keyword search is going to miss some conceptual matches. You can try to work around that with tokenization and complex queries with all variations but it's not easy. Vector search isn't all that new a concept. For example, the annoy library (https://github.com/spotify/annoy), an open source embeddings database. - Source: Hacker News / 8 months ago
  • Vector Databases 101
    If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw. Source: 11 months ago
  • Calculating document similarity in a special domain
    I then use annoy to compare them. Annoy can use different measures for distance, like cosine, euclidean and more. Source: 12 months ago
  • Can Parquet file format index string columns?
    Yes you can do this for equality predicates if your row groups are sorted . This blog post (that I didn't write) might add more color. You can't do this for any kind of text searching. If you need to do this with file based storage I'd recommend using a vector based text search and utilize a ANN index library like Annoy. Source: 12 months ago
  • [D]: Best nearest neighbour search for high dimensions
    If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy). Source: 12 months ago
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What are some alternatives?

When comparing Vector Vault and Annoy, 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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Zilliz - Data Infrastructure for AI Made Easy