bharatr21 / langchain-vectordb-course

ActiveLoop's Course on LangChain and Vector Databases in Production

LangChain and Vector Databases in Production

ActiveLoop, Towards AI and the Intel Disruptor Initiative

This contains most of the material from ActiveLoop's Course on LangChain and Vector Databases in Production: https://learn.activeloop.ai/courses/langchain

Authentication/API Keys

While going through the course, I created a keys.py file in the same directory and within the file, constants were set as follows:

OPENAI_API_KEY = '<Your OpenAI API Key>'
ACTIVELOOP_TOKEN = '<Your ActiveLoop Token>'
GOOGLE_API_KEY = '<Your Google API Key>'
GOOGLE_CSE_ID = '<Your Google App ID>'
HUGGINGFACEHUB_API_TOKEN = '<Your HuggingFace Token>'
ELEVEN_API_KEY = '<Your ElevenLabs API Key>'

Other API keys may also be required while going through the course.

The GPT4All model was used in a small portion, and the model weights used are present here

NOTE 1: Some of the generated assets are added under Assets and most of the code is under the Source folders. However, note that during the course, I had placed it all in the main directory itself, so file paths will have to be changed in the respective code notebooks.

NOTE 2: I had taken this course using the free version of the GPT APIs, so there will be some places I was rate limited at 3 reqs/min (A RateLimitError will be raised) - These sections will run properly on paid access to the respective APIs.