• JavaScript
• Node.js
• Express.js
• MongoDB
• pdfReader
• Embedding API (OpenAI)
• Thunder Client (API CLIENT)

Start developing locally.

clone this repo

git clone https://github.com/Swoyam1/KnowledgeBase-RAG.git

Install all dependencies

# install server side deps
npm install

Create a SEARCH INDEX in MONGODB ATLAS

Create a .env file in root folder and write these code

MONGO_URL = "PROVIDE YOUR MONGODB ATLAS URL"
OPENAI_API_KEY = "PROVIDE YOUR OPENAI API KEY"

Finally to start the server execute this script

npm run dev

After starting the server it should be running on http://localhost:7000

• POST : Post query to add vector embedding of PDF to the database

• POST : Post query and get the answer to the query in response

# post query body element
{
 "query" : "PROVIDE YOUR QUERY"
}