mem0/notebooks/cohere.ipynb

Cookbook for using Cohere with Embedchain

Step-1: Install embedchain package

In [ ]:

!pip install embedchain[dataloaders,cohere]

Step-2: Set Cohere related environment variables

You can find OPENAI_API_KEY on your OpenAI dashboard and COHERE_API_KEY key on your Cohere dashboard.

In [ ]:

import os
from embedchain import Pipeline as App

os.environ["OPENAI_API_KEY"] = "sk-xxx"
os.environ["COHERE_API_KEY"] = "xxx"

Step-3: Define your llm and embedding model config

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config = """
llm:
  provider: cohere
  config:
    model: gptd-instruct-tft
    temperature: 0.5
    max_tokens: 1000
    top_p: 1
    stream: false
"""

# Write the multi-line string to a YAML file
with open('cohere.yaml', 'w') as file:
    file.write(config)

Step-4 Create embedchain app based on the config

In [ ]:

app = App.from_config(config_path="cohere.yaml")

Step-5: Add data sources to your app

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app.add("https://www.forbes.com/profile/elon-musk")

Step-6: All set. Now start asking questions related to your data

In [ ]:

while(True):
    question = input("Enter question: ")
    if question in ['q', 'exit', 'quit']:
        break
    answer = app.query(question)
    print(answer)