Vespa

GET https://watchchangelog.com/api/v1/entries?source=vespa.releases

{
  "source": "vespa.releases",
  "vendor": "Vespa",
  "id": "tag:github.com,2008:Repository/60377070/lsp-v2.5.0",
  "published_at": "2026-08-24T08:45:45.000Z",
  "title": "Vespa Language Server 2.5.0",
  "url": "https://github.com/vespa-engine/vespa/releases/tag/lsp-v2.5.0",
  "summary": "The Language-server for Vespa schemas Use the jar file to integrate the language server into your favorite editor. For Visual Studio Code and IntelliJ the language server should also be available in the marketplace for the editor. Schema Language Server in Neovim Requirements Requires Java 17 or newer. Optional: lspconfig plugin for nvim. Installation Download schema-language-server-jar-with-dependencies.jar . Using lspconfig The language server is registered at lspconfig as vespa_ls . If you have lspconfig installed, all that needs to be done is to enable the language server. Register .sd , .profile and .yql as filetypes (in init.lua ): vim . filetype . add { extension = { profile = ' sd ' , sd = ' sd ' , yql = ' yql ' } } Create a config for schema language server (in init.lua ): vim . lsp . config ( ' vespa_ls ' , { cmd = { ' java ' , ' -jar ' , ' /path/to/vespa-language-server_X.X.X.jar ' }, -- on_attach = ... }) vim . lsp . enable ( ' vespa_ls ' ) Manual Installation If you don't want to use lspconfig you can refer to the LSP documentation for Neovim for manually registering the server. What's New Added support for the 'documentid' indexing expression. Added the 'queryTermDocumentFrequency' and 'numDocs' rank features, and label support for the 'bm25' rank feature. Added the 'tensorFromLabelsWithOffset' rank feature. Added support for tagged argument identifiers in ranking expressions and the 'optimize-model' onnx-model setting. Fixed a bug caused by use of an internal IntelliJ API.",
  "tags": [
    "Vespa",
    "vespa.releases",
    "search",
    "big-data",
    "open-source"
  ]
}