semantic-search-through-wikipedia-with-weaviate | Semantic search through a vectorized Wikipedia

by weaviate Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | semantic-search-through-wikipedia-with-weaviate Summary

semantic-search-through-wikipedia-with-weaviate is a Python library. semantic-search-through-wikipedia-with-weaviate has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However semantic-search-through-wikipedia-with-weaviate build file is not available. You can download it from GitHub.

Weaviate is an open source vector search engine with build-in vectorization and question answering modules. We imported the complete English language Wikipedia article dataset into a single Weaviate instance to conduct semantic search queries through the Wikipedia articles, besides this, we've made all the graph relations between the articles too. We have made the import scripts, pre-processed articles, and backup available so that you can run the complete setup yourself. If you like what you see, a on the Weaviate Github repo or joining our Slack is appreciated.

Support

Quality

Security

License

Reuse

Support

semantic-search-through-wikipedia-with-weaviate has a low active ecosystem.

It has 216 star(s) with 21 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 14 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of semantic-search-through-wikipedia-with-weaviate is current.

Quality

semantic-search-through-wikipedia-with-weaviate has no bugs reported.

Security

semantic-search-through-wikipedia-with-weaviate has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

semantic-search-through-wikipedia-with-weaviate is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

semantic-search-through-wikipedia-with-weaviate releases are not available. You will need to build from source code and install.

semantic-search-through-wikipedia-with-weaviate has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of semantic-search-through-wikipedia-with-weaviate

Get all kandi verified functions for this library.

semantic-search-through-wikipedia-with-weaviate Key Features

No Key Features are available at this moment for semantic-search-through-wikipedia-with-weaviate.

semantic-search-through-wikipedia-with-weaviate Examples and Code Snippets

No Code Snippets are available at this moment for semantic-search-through-wikipedia-with-weaviate.

Community Discussions

No Community Discussions are available at this moment for semantic-search-through-wikipedia-with-weaviate.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install semantic-search-through-wikipedia-with-weaviate

You can download it from GitHub.
You can use semantic-search-through-wikipedia-with-weaviate like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: