You can load any csv file from your local file system or through a URL. Headers are included for each line, so if you have an age column, 18 will be added as age: 18.

Install CSV addon

npm install @llm-tools/embedjs-loader-csv

Usage

Load from a local file

import { RAGApplicationBuilder } from '@llm-tools/embedjs';

import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';

import { HNSWDb } from '@llm-tools/embedjs-hnswlib';

import { CsvLoader } from '@llm-tools/embedjs-loader-csv';



const app = await new RAGApplicationBuilder()

.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)

.setEmbeddingModel(new OpenAiEmbeddings())

.setVectorDatabase(new HNSWDb())

.build();



app.addLoader(new CsvLoader({ filePathOrUrl: '/path/to/file.csv' }))

Load from URL

import { RAGApplicationBuilder } from '@llm-tools/embedjs';

import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';

import { HNSWDb } from '@llm-tools/embedjs-hnswlib';

import { CsvLoader } from '@llm-tools/embedjs-loader-csv';



const app = await new RAGApplicationBuilder()

.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)

.setEmbeddingModel(new OpenAiEmbeddings())

.setVectorDatabase(new HNSWDb())

.build();



app.addLoader(new CsvLoader({ filePathOrUrl: 'https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv' }))