{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:npm/endee-model","name":"endee-model","description":"Sparse text embeddings using the BM25 algorithm for vector database integration","version":"0.1.0","softwareVersion":"0.1.0","license":"https://spdx.org/licenses/MIT","codeRepository":"https://github.com/endee-io/embedding-model-js","url":"https://github.com/endee-io/embedding-model-js#readme","keywords":["vector-database","embeddings","bm25","sparse","keyword-search","qdrant","weaviate","nlp"],"maintainer":[{"@type":"Person","name":"harshit_endee"}],"author":[{"@type":"Person","name":"harshit_endee"}],"copyrightHolder":[{"@type":"Person","name":"harshit_endee"}],"dateCreated":"2026-03-20","dateModified":"2026-03-20","datePublished":"2026-03-20","copyrightYear":2026,"downloadUrl":"https://registry.npmjs.org/endee-model/-/endee-model-0.1.0.tgz","applicationCategory":"npm","runtimePlatform":"npm","sameAs":["https://www.npmjs.com/package/endee-model"]}