hnswlib | Java library for approximate nearest neighbors | Learning library
kandi X-RAY | hnswlib Summary
kandi X-RAY | hnswlib Summary
hnswlib is a Java library typically used in Tutorial, Learning, Example Codes applications. hnswlib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
Work in progress java implementation of the [the Hierarchical Navigable Small World graphs] (HNSW) algorithm for doing approximate nearest neighbour search. The index is thread safe, serializable, supports adding items to the index incrementally and has experimental support for deletes. It’s flexible interface makes it easy to apply it to use it with any type of data and distance metric.
Work in progress java implementation of the [the Hierarchical Navigable Small World graphs] (HNSW) algorithm for doing approximate nearest neighbour search. The index is thread safe, serializable, supports adding items to the index incrementally and has experimental support for deletes. It’s flexible interface makes it easy to apply it to use it with any type of data and distance metric.
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Quality
Security
License
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Support
hnswlib has a low active ecosystem.
It has 206 star(s) with 47 fork(s). There are 15 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 43 have been closed. On average issues are closed in 58 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of hnswlib is v1.0.1
Quality
hnswlib has 0 bugs and 0 code smells.
Security
hnswlib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
hnswlib code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
hnswlib is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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hnswlib releases are not available. You will need to build from source code and install.
Deployable package is available in Maven.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed hnswlib and discovered the below as its top functions. This is intended to give you an instant insight into hnswlib implemented functionality, and help decide if they suit your requirements.
- Add a new item to the graph
- mutually connected
- Gets the neighbors of a pair
- MurmurHash3 32 - bit variant
- Creates an index file
- Normalize a vector
- Adds multiple items to the index
- Load word vectors from a given path
- Deserialization
- Read a MutableObject map
- Read a MutableObjectLong map
- Read a node
- Performs the serialization operation
- Writes a node
- Finds the nearest neighbors of the given entry point
- Search the base layer for the base layer
- Start the downloader
- Download a website from an URL
- Finds the items in the vector in the given vector
- Adds an item to the item list
- Removes the item with the given version and version
- Returns the collection
- Creates a proxy class implementing the specified interface
- Performs the actual search
- Get the item associated with the given id
- Compares two SearchResult objects
Get all kandi verified functions for this library.
hnswlib Key Features
No Key Features are available at this moment for hnswlib.
hnswlib Examples and Code Snippets
No Code Snippets are available at this moment for hnswlib.
Community Discussions
Trending Discussions on hnswlib
QUESTION
Efficient way to map matrix int values to str with numpy
Asked 2019-Dec-17 at 12:00
I am calculating similarity between embedding vectors My matrix shape is (16480,300) --> vecs
...ANSWER
Answered 2019-Dec-16 at 16:39You could try to use indexing df.ind with labels once added a dimension with None. Not sure of your exact expected output, but something like:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hnswlib
You can download it from GitHub, Maven.
You can use hnswlib like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the hnswlib component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use hnswlib like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the hnswlib component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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