mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2025-05-02 17:07:13 +00:00
improve native embedder handling of large files (#584)
* improve native embedder handling of large files * perf changes * ignore storage tmp
This commit is contained in:
parent
b4ab0a5e8c
commit
4f6d93159f
5 changed files with 78 additions and 14 deletions
cloud-deployments/aws/cloudformation
server
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@ -64,8 +64,14 @@ server {
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listen 80;
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server_name [insert FQDN here];
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location / {
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# Prevent timeouts on long-running requests.
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proxy_connect_timeout 605;
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proxy_send_timeout 605;
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proxy_read_timeout 605;
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send_timeout 605;
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keepalive_timeout 605;
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proxy_pass http://0.0.0.0:3001;
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}
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}
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}
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3. Enter ':wq' to save the changes to the anything config file
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1
server/.gitignore
vendored
1
server/.gitignore
vendored
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@ -3,6 +3,7 @@
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storage/assets/*
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!storage/assets/anything-llm.png
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storage/documents/*
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storage/tmp/*
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storage/vector-cache/*.json
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storage/exports
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storage/imports
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@ -27,7 +27,7 @@
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"@pinecone-database/pinecone": "^0.1.6",
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"@prisma/client": "5.3.0",
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"@qdrant/js-client-rest": "^1.4.0",
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"@xenova/transformers": "^2.10.0",
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"@xenova/transformers": "^2.14.0",
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"@zilliz/milvus2-sdk-node": "^2.3.5",
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"archiver": "^5.3.1",
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"bcrypt": "^5.1.0",
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@ -78,4 +78,4 @@
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"nodemon": "^2.0.22",
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"prettier": "^3.0.3"
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}
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}
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}
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@ -1,6 +1,7 @@
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const path = require("path");
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const fs = require("fs");
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const { toChunks } = require("../../helpers");
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const { v4 } = require("uuid");
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class NativeEmbedder {
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constructor() {
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@ -15,13 +16,30 @@ class NativeEmbedder {
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this.dimensions = 384;
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// Limit of how many strings we can process in a single pass to stay with resource or network limits
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this.maxConcurrentChunks = 50;
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this.maxConcurrentChunks = 25;
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this.embeddingMaxChunkLength = 1_000;
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// Make directory when it does not exist in existing installations
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if (!fs.existsSync(this.cacheDir)) fs.mkdirSync(this.cacheDir);
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}
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#tempfilePath() {
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const filename = `${v4()}.tmp`;
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const tmpPath = process.env.STORAGE_DIR
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? path.resolve(process.env.STORAGE_DIR, "tmp")
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: path.resolve(__dirname, `../../../storage/tmp`);
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if (!fs.existsSync(tmpPath)) fs.mkdirSync(tmpPath, { recursive: true });
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return path.resolve(tmpPath, filename);
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}
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async #writeToTempfile(filePath, data) {
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try {
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await fs.promises.appendFile(filePath, data, { encoding: "utf8" });
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} catch (e) {
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console.error(`Error writing to tempfile: ${e}`);
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}
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}
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async embedderClient() {
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if (!fs.existsSync(this.modelPath)) {
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console.log(
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@ -62,18 +80,51 @@ class NativeEmbedder {
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return result?.[0] || [];
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}
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// If you are thinking you want to edit this function - you probably don't.
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// This process was benchmarked heavily on a t3.small (2GB RAM 1vCPU)
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// and without careful memory management for the V8 garbage collector
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// this function will likely result in an OOM on any resource-constrained deployment.
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// To help manage very large documents we run a concurrent write-log each iteration
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// to keep the embedding result out of memory. The `maxConcurrentChunk` is set to 25,
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// as 50 seems to overflow no matter what. Given the above, memory use hovers around ~30%
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// during a very large document (>100K words) but can spike up to 70% before gc.
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// This seems repeatable for all document sizes.
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// While this does take a while, it is zero set up and is 100% free and on-instance.
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async embedChunks(textChunks = []) {
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const Embedder = await this.embedderClient();
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const embeddingResults = [];
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for (const chunk of toChunks(textChunks, this.maxConcurrentChunks)) {
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const output = await Embedder(chunk, {
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const tmpFilePath = this.#tempfilePath();
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const chunks = toChunks(textChunks, this.maxConcurrentChunks);
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const chunkLen = chunks.length;
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for (let [idx, chunk] of chunks.entries()) {
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if (idx === 0) await this.#writeToTempfile(tmpFilePath, "[");
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let data;
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let pipeline = await this.embedderClient();
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let output = await pipeline(chunk, {
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pooling: "mean",
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normalize: true,
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});
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if (output.length === 0) continue;
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embeddingResults.push(output.tolist());
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if (output.length === 0) {
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pipeline = null;
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output = null;
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data = null;
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continue;
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}
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data = JSON.stringify(output.tolist());
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await this.#writeToTempfile(tmpFilePath, data);
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console.log(`\x1b[34m[Embedded Chunk ${idx + 1} of ${chunkLen}]\x1b[0m`);
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if (chunkLen - 1 !== idx) await this.#writeToTempfile(tmpFilePath, ",");
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if (chunkLen - 1 === idx) await this.#writeToTempfile(tmpFilePath, "]");
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pipeline = null;
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output = null;
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data = null;
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}
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const embeddingResults = JSON.parse(
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fs.readFileSync(tmpFilePath, { encoding: "utf-8" })
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);
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fs.rmSync(tmpFilePath, { force: true });
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return embeddingResults.length > 0 ? embeddingResults.flat() : null;
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}
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}
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@ -269,6 +269,11 @@
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dependencies:
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"@hapi/hoek" "^9.0.0"
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"@huggingface/jinja@^0.1.0":
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version "0.1.2"
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resolved "https://registry.yarnpkg.com/@huggingface/jinja/-/jinja-0.1.2.tgz#073fa0a68ef481a1806b0186bbafd8013e586fbe"
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integrity sha512-x5mpbfJt1nKmVep5WNP5VjNsjWApWNj8pPYI+uYMkBWH9bWUJmQmHt2lbf0VCoQd54Oq3XuFEh/UyoVh7rPxmg==
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"@humanwhocodes/config-array@^0.11.13":
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version "0.11.13"
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resolved "https://registry.yarnpkg.com/@humanwhocodes/config-array/-/config-array-0.11.13.tgz#075dc9684f40a531d9b26b0822153c1e832ee297"
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@ -851,11 +856,12 @@
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resolved "https://registry.yarnpkg.com/@ungap/structured-clone/-/structured-clone-1.2.0.tgz#756641adb587851b5ccb3e095daf27ae581c8406"
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integrity sha512-zuVdFrMJiuCDQUMCzQaD6KL28MjnqqN8XnAqiEq9PNm/hCPTSGfrXCOfwj1ow4LFb/tNymJPwsNbVePc1xFqrQ==
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"@xenova/transformers@^2.10.0":
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version "2.10.0"
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resolved "https://registry.yarnpkg.com/@xenova/transformers/-/transformers-2.10.0.tgz#ae97d724a3addf78de7314336a9f7b28ed96a140"
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integrity sha512-Al9WKiOsimAC3mU9Ef434GkHF0izmeAM7mMMx5npdWsWLAYL8fmJXCrULj6uCfjomMQ7jyN9rDtKpp570hffiw==
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"@xenova/transformers@^2.14.0":
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version "2.14.0"
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resolved "https://registry.yarnpkg.com/@xenova/transformers/-/transformers-2.14.0.tgz#6fe128957e64377ca4fca910e77f6092f3f3512a"
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integrity sha512-rQ3O7SW5EM64b6XFZGx3XQ2cfiroefxUwU9ShfSpEZyhd082GvwNJJKndxgaukse1hZP1JUDoT0DfjDiq4IZiw==
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dependencies:
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"@huggingface/jinja" "^0.1.0"
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onnxruntime-web "1.14.0"
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sharp "^0.32.0"
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optionalDependencies:
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