Hi Benjamin, we are AskYourDatabase, and we just sent an email of video Sponsor plan to you, let me know if you received it

how agents know its a python code, or more specific how llm know the context aware

Great video! Always something new to learn!

Thank you for your very clear explanation of the important key concepts of LangChain!

Perfect, thank you very much. Do you have a plan to chain the output to plot 😅

This video explains more better than some udemy courses

great work...thanks

Awesome, easy-to-follow video on how to use LangChain for a real world application. Well done!

Awesome! enjoyed learning from you :)

Thanks. you are awesome! could you please make a video on using Google Colab or VS Code while learning LangChain without spending too much money? how we could save money while developing and when deploying solutions? also, if you could share this through Github then others could contribute to your project - what do you think?

Thanks for sharing. Awesome!

Can someone tell me what is free again? Because when I try to use OpenAI keys it always tells me that I'm "out of credits" or something. Am I doing something wrong or this "free" thing is bs?

can you share the link to the collab

great tutorial!

Godlike presentation. I hope this channel blows up, you deserve it.

great video where can i get the dataset

Superb tutorial! I liked the diagram a lot and the way it was connected to the examples. Keep up the good work! Would love to see further end-to-end projects addressing Data Analysis use cases using LangChain Agents. A big Thank You for your work!

One of the best 101 video on LangChain out there, Kudos to you!

what is code in .env dan gbqkey.json?

the best tutorial and knowledge preparation i have come across in my life! Thank you for all your effort!

Service account keys could pose a security risk if compromised. We recommend you avoid downloading service account keys and instead use the Workload Identity Federation .

tremenda clase, mas contenido así por favor

That noise to show the type in the animation kills my ears

can you please tell if i can do the same in vs code?

amazing!

Thanks a lot! great video great kikstart

Thanks for the quality content. The agent part of Langchain is pretty interesting! What are some of the industry use cases that you might have came across while researching about LangChain Agents?

how can I find the environment variables of Redis

keep updating content, thanks great value!!🎉❤

Please upload more videos regarding langchain plss❤

Decent video but if you are hunting for reliable cold email solutions, give DoYouMail a shot. My five-month journey with them has been nothing short of amazing. Creating and managing email IDs is ridiculously easy. High delivery rates and dedicated IPs are icing on the cake. Seriously, if Rabbitmetrics could cover DoYouMail, that would be top-notch.

This video on Cold Email Automation is quite informative. But, if you are serious about cold emails, Mystrika made my campaigns stand out. Two months in, and the automatic bounce detection has kept my deliverability top-notch. Their webhooks integration with GoHighLevel is a game changer and makes automation a breeze. Plus, their A/B testing allows up to 26 variations-talk about going the extra mile.

Watched the latest Rabbitmetrics video on automation. It is good, but if consistent results are your aim, Mystrika is your friend. I have been stuck with them for five months, and have not looked back. Their unified inbox and comprehensive analytics are like game cheats for email marketers. And hey, you can have up to unlimited sending email addresses. Plus, the tag management feature is pure gold.

Rabbitmetrics nailed it again with another awesome video. But trust me, Mystrika is where it is at if you are diving into cold emailing deeply. From the AI writing and personalization features to the automatic bounce detection, it is got it all. Been using it for six amazing months, and the preheaders have notably increased my open rates. Also, their pay-once-use-forever deal is absolutely worth it.

Yo, just finished that cold email automation video. If you have not tried it yet, FilterBounce is a must. I have been using it for a solid four months. The email verification is on point, keeping my bounce rate way below 1%. Great thing is, it is super affordable at $10/month. The real-time verification API works like a charm. Anyone else found it useful?

Damn, that Rabbitmetrics video really got me thinking. While tools like LangChain are okay, consider DoYouMail. Rolling with it for three months now, and boy, do they deliver. SPF DKIM DMARC DNS configuration happens automatically, making setup a no-brainer. The scalability factor is empowering. You can practically add unlimited email IDs and domains. More video content on DoYouMail would rock!

Absolutely brilliant presentation, very kind of you to include the code and an optimized code walk thru. Thank you again for sharing this wealth of Information. - Sam

The davinci openai is deprecated, and I can't see any API models that are free. Do you have to pay to use the OpenAI models now?

How can I make an image search engine that accepts an image?

Query Structuring could work better than few shot prompting just a thought

Query Structuring could work better than few shot prompting just a thought

This is really interesting but I have some concerns about this method, I'd love to hear what you think about them: 1. We are always sending the entire schema as context. If we want to have a large dataset connected to this "application", we will waste a ton of tokens on that. The agent that LangChain built slowly decides which tables might be relevant, thus reducing the amount of tokens used as context. How would you approach something like this? 2. Sometimes, tables and column names might not be super intuitive to the LLM, and without sampling the data, it can assume properties, values or anything else. So this requires the user to review the query and make sure it makes sense, which is what we are kind of trying to prevent when we start using AI for queries. What do you think about adding a semi step that will somehow sample the relevant data?

Really nice tutorial!

i didnt got environment for pinecone

Really awesome. Love the real business applications. This is exactly what I have been looking for.

Super! Interesting to cover how to input the feedback into the LLM and how to fully automate this process

Since when the redis is supporting vectors?

how do you fetch only the relavant chunk from the vector database and then send it to LLM along with the user query for the answer? that part is not clear

This is a freaking gem, not many people touch on ML and Marketing!

How is similarity search returning 4 chunks = answer? How is this extending gpt3.5 to work on top of my data? Even if I imagine those texts are my custom data, langchain just returns similar chunks of text? Which elastic search can do as well?!?