InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises. Learn more →
Annoy Alternatives
Similar projects and alternatives to annoy
-
-
-
Sonar
Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
-
-
-
-
-
-
InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
-
Weaviate
Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
-
ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
-
hora
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
-
-
-
qdrant
Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud https://qdrant.to/cloud
-
-
bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc. (by milvus-io)
-
horapy
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
-
-
featurebase
A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Fire up a Docker instance here: https://github.com/FeatureBaseDB/featurebase-examples/tree/main/docker-simple
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better annoy alternative or higher similarity.
annoy reviews and mentions
Posts with mentions or reviews of annoy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-11.
-
[Discussion] NLP for products matching
Probably I won't be bale to explain better than it's stated on annoy page: https://github.com/spotify/annoy But the bottom line is speed. Instead of computing similarities of embeddings one by one you do it via index that works way faster.
-
Do i really need a vector database
Perhaps you can store your embeddings anywhere (sql or even a file) and use Approximate Nearest Neighbors like https://github.com/spotify/annoy for comparison?
- Image matching within database? [P]
-
Comparing millions of image hashes in rust
Hi, I have a huge list of hashes of images, that I have to compare and find matching items and delete duplicates. Is there something similar to spotify/annoy in Rust or BK-Tree/VP-Tree implementation? Thanks
-
Leaving Spotify for Freer Pastures
Is your music recommendation system open source? Would be down to check it out and learn a thing or two from it.
On the topic of vector search, I'm fairly certain that Spotify still uses Annoy (https://github.com/spotify/annoy). Like Faiss, it's a great library but not quite a database, which would ideally have features like replication (https://milvus.io/docs/replica.md), caching, and access control, to name a few.
-
[D] [R] Large-scale clustering
To improve the running time you could try an approximate algorithm: https://github.com/spotify/annoy/
-
Bitmap Indexes in Go: Search Speed
Ducks, the story:
I was using Python in-memory vector search engine called Annoy [1] to do semantic search on various kinds of data. It worked great for finding "similar" objects. Story A has similar text to story B, image A looks like image B, etc.
But doing basic metadata lookups was surprisingly hard. How do I get all images matching some criteria (say, size range, or tags)? I'd have to serialize them all into a DB, and use a DB index. Databases are great, but they add code bloat and overhead; I'm usually working Jupyter notebooks and I like keeping as few external dependencies as possible.
So I wrote ducks as a quick, convenient way to index anything.
There's lots of other usage patterns of course, it's very generic. It makes a great Wordle / crossword solver too. "Find me words where the first letter is A and the fifth letter is L" is very fast in ducks.
Indexing is just one of those things you always need. Python didn't have a good way to do it, and now it does!
- Solr’s Dense Vector Search for indexing and searching dense numerical vectors
-
Create a Wine Recommender using NLP on AWS
It'd definitely be a nice-to-have. Luckily it shouldn't be to hard to create a custom estimator using something like Spotify's Annoy library. I might try it out whenever I come back and revisit the project.
-
Anatomy of a txtai index
embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.
-
A note from our sponsor - InfluxDB
www.influxdata.com | 8 Feb 2023
Stats
Basic annoy repo stats
28
10,722
5.2
9 days ago
spotify/annoy is an open source project licensed under Apache License 2.0 which is an OSI approved license.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com