README.md

langchain-cohere-qdrant-retrieval

This is a template retrieval repo to create a Flask api server using LangChain that takes a PDF file and allows to search in 100+ languages with Cohere embeddings and Qdrant Vector Database.

Installation

Install all the python dependencies using pip

pip install -r requirements.txt

Qdrant setup

Please make an account on Qdrant and create a new cluster. You will then be able to get the qdrant_url and qdrant_api_key used in the section below.

Environment variables

Please assign environment variables as follows.

cohere_api_key="insert here"
openai_api_key="insert here"
qdrant_url="insert here"
qdrant_api_key="insert here"

Run the app

Run the app using Gunicorn command

gunicorn app:app

The app should now be running with an api route /embed and another api route /retrieve.

Feel free to reach out if any questions on Twitter