Cold Email Automation with LangChain, Lemlist & Apify

[@KhalilDaTerra]

i recently found your channel and have really been impressed. you have such great production quality and really informative videos! keep it up!!

[@thomas_mulhern]

Excellent content! Thank you!

[@rabbitmetrics]

You're welcome! Thanks for watching

[@KrishantDhani]

How can you do this for 50 businesses at once?

[@rabbitmetrics]

You would need to use the Lemlist API. Depending on volume you might want to start off with a lower level of personalization. Keep an eye on OpenAI costs and look into going open source with a model from Hugging Face. LangChain makes switching out the language model easy.

[@maximexc1299]

Cool ! I wonder how hard it will be to get rid of GPT-4 and use a local alternative on a GPU powered server.

[@say.xy_]

Same, someone have to broke this chain.

[@rabbitmetrics]

Thanks for watching - planning a video on this

[@Apify]

Great job! 😎

[@oxytic]

Could you please create video tutorials on how to create a custom agent in Langchai? I noticed that the previous tutorial you provided on customizing Langchai was a bit challenging for me as a beginner. It involved the use of Python classes, which made it difficult for me to comprehend. I greatly appreciate all your other videos, as they are highly comprehensive and easy to understand, except for the custom language tutorial. Therefore, I kindly request you to consider making a new video on this topi

[@FifthDistrictStudio]

Great stuff! I think that vicuna 14B model maybe a good replacement for gpt4

[@davidoludepo]

Thank you.

[@rabbitmetrics]

You're welcome!

[@JesseTheSr]

1. Source code provided on git is missing the loader shown in the video. Here is the code of the missing loader, which should after the crawl_input cell: loader = apify.call_actor( actor_id = "apify/website-content-crawler", run_input=crawl_input, dataset_mapping_function=lambda item: Document( page_content=item["text"] or "", metadata={"source": item["url"]} ), ) 2. It would be easier to add IN THE CODE the environmental variables. It is operating system independent and easier to explain to the public in a video. This is done by adding a cell, after the frist import of libraries: os.environ["OPENAI_API_KEY"] = "..." os.environ["APIFY_API_TOKEN"] = "..." where the "..." should replace by the actual key from apify and OpenAI. Even when all the corrections are made, the code still returns an empty "docs"