mirror of
https://github.com/Mintplex-Labs/anything-llm.git
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94017e2b51
* bump langchain deps * patch native and ollama providers remove deprecated deps --------- Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
85 lines
2.5 KiB
JavaScript
85 lines
2.5 KiB
JavaScript
function isNullOrNaN(value) {
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if (value === null) return true;
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return isNaN(value);
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}
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class TextSplitter {
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#splitter;
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constructor(config = {}) {
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/*
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config can be a ton of things depending on what is required or optional by the specific splitter.
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Non-splitter related keys
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{
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splitByFilename: string, // TODO
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}
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------
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Default: "RecursiveCharacterTextSplitter"
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Config: {
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chunkSize: number,
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chunkOverlap: number,
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}
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------
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*/
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this.config = config;
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this.#splitter = this.#setSplitter(config);
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}
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log(text, ...args) {
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console.log(`\x1b[35m[TextSplitter]\x1b[0m ${text}`, ...args);
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}
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// Does a quick check to determine the text chunk length limit.
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// Embedder models have hard-set limits that cannot be exceeded, just like an LLM context
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// so here we want to allow override of the default 1000, but up to the models maximum, which is
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// sometimes user defined.
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static determineMaxChunkSize(preferred = null, embedderLimit = 1000) {
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const prefValue = isNullOrNaN(preferred)
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? Number(embedderLimit)
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: Number(preferred);
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const limit = Number(embedderLimit);
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if (prefValue > limit)
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console.log(
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`\x1b[43m[WARN]\x1b[0m Text splitter chunk length of ${prefValue} exceeds embedder model max of ${embedderLimit}. Will use ${embedderLimit}.`
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);
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return prefValue > limit ? limit : prefValue;
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}
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#setSplitter(config = {}) {
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// if (!config?.splitByFilename) {// TODO do something when specific extension is present? }
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return new RecursiveSplitter({
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chunkSize: isNaN(config?.chunkSize) ? 1_000 : Number(config?.chunkSize),
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chunkOverlap: isNaN(config?.chunkOverlap)
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? 20
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: Number(config?.chunkOverlap),
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});
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}
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async splitText(documentText) {
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return this.#splitter._splitText(documentText);
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}
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}
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// Wrapper for Langchain default RecursiveCharacterTextSplitter class.
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class RecursiveSplitter {
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constructor({ chunkSize, chunkOverlap }) {
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const {
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RecursiveCharacterTextSplitter,
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} = require("@langchain/textsplitters");
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this.log(`Will split with`, { chunkSize, chunkOverlap });
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this.engine = new RecursiveCharacterTextSplitter({
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chunkSize,
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chunkOverlap,
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});
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}
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log(text, ...args) {
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console.log(`\x1b[35m[RecursiveSplitter]\x1b[0m ${text}`, ...args);
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}
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async _splitText(documentText) {
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return this.engine.splitText(documentText);
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}
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}
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module.exports.TextSplitter = TextSplitter;
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