mirror of
https://github.com/hwchase17/langchain.git
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ea0afd07ca
- **Description:** Reference library azure-search-documents has been adapted in version 11.4.0: 1. Notebook explaining Azure AI Search updated with most recent info 2. HnswVectorSearchAlgorithmConfiguration --> HnswAlgorithmConfiguration 3. PrioritizedFields(prioritized_content_fields) --> SemanticPrioritizedFields(content_fields) 4. SemanticSettings --> SemanticSearch 5. VectorSearch(algorithm_configurations) --> VectorSearch(configurations) --> Changes now reflected on Langchain: default vector search config from langchain is now compatible with officially released library from Azure. - **Issue:** Issue creating a new index (due to wrong class used for default vector search configuration) if using latest version of azure-search-documents with current langchain version - **Dependencies:** azure-search-documents>=11.4.0, - **Tag maintainer:** , --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
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| docusaurus.config.js | ||
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| README.md | ||
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Website
This website is built using Docusaurus 2, a modern static website generator.
Installation
$ yarn
Local Development
$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
$ yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
$ USE_SSH=true yarn deploy
Not using SSH:
$ GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.
Continuous Integration
Some common defaults for linting/formatting have been set for you. If you integrate your project with an open-source Continuous Integration system (e.g. Travis CI, CircleCI), you may check for issues using the following command.
$ yarn ci