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📂 feat: RAG Improvements (#2169)
* feat: new vector file processing strategy * chore: remove unused client files * chore: remove more unused client files * chore: remove more unused client files and move used to new dir * chore(DataIcon): add className * WIP: Model Endpoint Settings Update, draft additional context settings * feat: improve parsing for augmented prompt, add full context option * chore: remove volume mounting from rag.yml as no longer necessary
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96
api/server/services/Files/VectorDB/crud.js
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api/server/services/Files/VectorDB/crud.js
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const fs = require('fs');
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const axios = require('axios');
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const FormData = require('form-data');
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const { FileSources } = require('librechat-data-provider');
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const { logger } = require('~/config');
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/**
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* Deletes a file from the vector database. This function takes a file object, constructs the full path, and
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* verifies the path's validity before deleting the file. If the path is invalid, an error is thrown.
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*
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* @param {Express.Request} req - The request object from Express. It should have an `app.locals.paths` object with
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* a `publicPath` property.
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* @param {MongoFile} file - The file object to be deleted. It should have a `filepath` property that is
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* a string representing the path of the file relative to the publicPath.
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*
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* @returns {Promise<void>}
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* A promise that resolves when the file has been successfully deleted, or throws an error if the
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* file path is invalid or if there is an error in deletion.
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*/
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const deleteVectors = async (req, file) => {
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if (file.embedded && process.env.RAG_API_URL) {
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const jwtToken = req.headers.authorization.split(' ')[1];
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axios.delete(`${process.env.RAG_API_URL}/documents`, {
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headers: {
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Authorization: `Bearer ${jwtToken}`,
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'Content-Type': 'application/json',
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accept: 'application/json',
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},
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data: [file.file_id],
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});
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}
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};
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/**
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* Uploads a file to the configured Vector database
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*
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* @param {Object} params - The params object.
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* @param {Object} params.req - The request object from Express. It should have a `user` property with an `id`
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* representing the user, and an `app.locals.paths` object with an `uploads` path.
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* @param {Express.Multer.File} params.file - The file object, which is part of the request. The file object should
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* have a `path` property that points to the location of the uploaded file.
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* @param {string} params.file_id - The file ID.
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*
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* @returns {Promise<{ filepath: string, bytes: number }>}
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* A promise that resolves to an object containing:
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* - filepath: The path where the file is saved.
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* - bytes: The size of the file in bytes.
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*/
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async function uploadVectors({ req, file, file_id }) {
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if (!process.env.RAG_API_URL) {
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throw new Error('RAG_API_URL not defined');
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}
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try {
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const jwtToken = req.headers.authorization.split(' ')[1];
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const formData = new FormData();
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formData.append('file_id', file_id);
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formData.append('file', fs.createReadStream(file.path));
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const formHeaders = formData.getHeaders(); // Automatically sets the correct Content-Type
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const response = await axios.post(`${process.env.RAG_API_URL}/embed`, formData, {
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headers: {
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Authorization: `Bearer ${jwtToken}`,
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accept: 'application/json',
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...formHeaders,
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},
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});
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const responseData = response.data;
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logger.debug('Response from embedding file', responseData);
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if (responseData.known_type === false) {
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throw new Error(`File embedding failed. The filetype ${file.mimetype} is not supported`);
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}
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if (!responseData.status) {
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throw new Error('File embedding failed.');
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}
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return {
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bytes: file.size,
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filename: file.originalname,
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filepath: FileSources.vectordb,
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embedded: Boolean(responseData.known_type),
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};
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} catch (error) {
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logger.error('Error embedding file', error);
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throw new Error(error.message || 'An error occurred during file upload.');
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}
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}
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module.exports = {
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deleteVectors,
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uploadVectors,
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};
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