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Annoy Alternatives
Similar projects and alternatives to annoy
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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.
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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.
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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.
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ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
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hora
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
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qdrant
Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud https://qdrant.to/cloud
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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)
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horapy
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
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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
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
annoy reviews and mentions
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[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.
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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]
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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
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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.
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[D] [R] Large-scale clustering
To improve the running time you could try an approximate algorithm: https://github.com/spotify/annoy/
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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
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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.
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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.
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A note from our sponsor - InfluxDB
www.influxdata.com | 8 Feb 2023
Stats
spotify/annoy is an open source project licensed under Apache License 2.0 which is an OSI approved license.