embeddings-js
Version:
A NodeJS RAG framework to easily work with LLMs and custom datasets
49 lines (48 loc) • 1.47 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.MemoryCache = void 0;
class MemoryCache {
constructor() {
Object.defineProperty(this, "loaderList", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
Object.defineProperty(this, "loaderCustomValues", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
}
async init() {
this.loaderList = {};
this.loaderCustomValues = {};
}
async addLoader(loaderId, chunkCount) {
this.loaderList[loaderId] = { chunkCount };
}
async getLoader(loaderId) {
return this.loaderList[loaderId];
}
async hasLoader(loaderId) {
return this.loaderList.hasOwnProperty(loaderId);
}
async loaderCustomSet(loaderCombinedId, value) {
this.loaderCustomValues[loaderCombinedId] = value;
}
async loaderCustomGet(loaderCombinedId) {
return this.loaderCustomValues[loaderCombinedId];
}
async loaderCustomHas(loaderCombinedId) {
return this.loaderCustomValues.hasOwnProperty(loaderCombinedId);
}
async deleteLoader(loaderId) {
delete this.loaderList[loaderId];
}
async loaderCustomDelete(loaderCombinedId) {
delete this.loaderList[loaderCombinedId];
}
}
exports.MemoryCache = MemoryCache;