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activeloop-langchain's Introduction

ActiveLoop Langchain Course Files

My files for activeloop course https://learn.activeloop.ai/courses/take/langchain/multimedia/46318189-introduction-to-llm-memory

This is a fantastic course and I highly recommend it for anyone to try it. It is free and you can get a lot of value from it.

Big big :love: to the ActiveLoop team for making this course!

PS. Starting from S5 it uses ChromaDB instead of activeloop

Dev

  • Install deps pip install -r requirements.txt
  • Rename example.env to .env and fill in the values. See below for more info

Getting access tokens:

OpenAI:

ActiveLoop:

  • Register with ActiveLoop https://www.activeloop.ai/
  • Create API Token -> Create API Token
  • Set ACTIVELOOP_TOKEN and ACTIVELOOP_ORGID env variable in the .env

Google Application Credentials

Google Custom Search Engine

Eleven Labs

  • Create account with ElevenLabs https://elevenlabs.io/
  • Once you logged in, press on your account icon, and select "Profile"
  • You will see the "API Key" there. Thats is the ELEVENLABS_API_KEY var

SerpAPI

  • Create account with SerpAPI https://serpapi.com/
  • This will require both email and phone verification. (YES THEY WILL ASK FOR YOUR PHONE NUMBER)
  • Go to the API keys dashboard https://serpapi.com/manage-api-key
  • You will see the key there. Thats is the SERPAPI_API_KEY var

WolframAlpha

  • Create developer account with WolframAlpha https://developer.wolframalpha.com/
  • Once you signed in, press "Get an App ID" button
  • Fill in name, and description.
  • In the API selector choose Simple API and press submit
  • You will see the App ID there. Thats is the WOLFRAM_ALPHA_APPID var

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