"Wait..this AI Agent does research for you 24hrs without hallucination?!" - Here is how 

Probably the best channel on AI LangChain actual useful applications tutorials on youtube, i always rush to see your videos, much value provided as always, thanks Jason!

Jason. DON'T STOP!!! Every single video of your is remarkable. Please continue to produce these and come up with amazing ways of using AI. Use AI to "Audit/Verify" that someone has filled up a printed form correctly (for example, with their name, address and so on) and their signature matches with another document for example an ID to verify the person completed a printed document correctly.

Great video, Jason. I love that, as others have said, you're demonstrating how to build something actually useful.

I’m excited to watch this as many times as necessary to comprehend and implement. This was a concise yet thorough walk through of a complex topic with zero fluff or dead time. Very, very well done. This video leaves me feeling empowered! I’m really looking forward to following along step by step. Thank you for this! 🙏🏼

Excellent content Jason, this is easily one of my favorite AI youtube channels

You are AMAZING! Such a great video -thanks for sharing! I love how simple the the code is, and how you broke down every section and what it does. Plan on trying it with some of my own use cases soon! :)

Bravo, very good walkthrough. I like how you pieced everything together and browserless is good for not getting blacklisted.

Really amazing as usual Jason. Thank you for spending time to create the video.

This is amazing man! Thanks for sharing in a so detailed way 🔥🔥 especially thanks for sharing the git. And this is the best Make integration I ever seen. Used them a lot, and here’s one more use case.

This use case is really amazing. I am so inspired with your level of skill and knowledge in this topic. It was very informative and entertaining to watch and I can definitely see how useful this can be in day to day operation of research and business! Wow

Finally you released another outstanding video... I was waiting for it.

Love your thumbnails lol, the super well explained videos are an amazing bonus :)

Really love you videos. You are really on a different level. Great work, thanks.

Uncredibly good and easy to understand explanation. Thanks Jason!

Loved your knowledge sharing! Really helpful! Looking forward to many more. Keep up the good work. Thanks!!!

Your content is so unique and definitely one of the best channels!

Dude, I focking love you! Keep up with this content! You are showing the most useful info I need for Agenst Development!

First time looking at your videos Jason. Great content. Directly subscribed.

You will be one of very incredible person contributing to advancement of AI. Great job. You are so authentic

Awesome bro!! Just subscribed!

Hey Jason, just watched your AI research agent tutorial and man, it's game-changing! Given how Botpress allows for custom chatbot training, it'd be cool to see a comparison or integration with Langchain AI agents. Keep those awesome insights coming! Cheers! 👍😃

very impressive. thank you for taking the time to share this awesome knowhow

Thank you very much. After going through everything, and getting this app to actually work,you've inspired me to build my first AI agent with this video, and now my mind is firing on all cylinders with the world of possibilities. Thank you for doing what you're doing.

The research agent from your link is fantastic at doing market research! The links actually work and are from reputable places. Im blown away!

This is one of those great instructional videos to bookmark and watch multiple times. Well done!

This is awesome! Explained so well that as a very low coder I can run with this! I’m finding the langchain GUIs quite limited…Your videos do rock…would love to see a chainlit v stream lit v langchain chat ui video…

Great instructional video, thank you!

wow, great time-efficient explanation, so useful content, thank you!

Amazing video, thank you so much for this!

Excellent Conntent Jason. just well done! thank you

that is such a cool way to use GPTs abilities! great video, and good flow

Building my own autonomous AI from scratch to automate red team engagement activities like social engineering and network attacks. Looking to add an autonomous research agent to build threat scenarios, so this video has been a great help!

Great content. Very useful stuff

Such a brilliant video. Definitely gonna try it 🙂

🎯 Key Takeaways for quick navigation: 00:00 🗣️ The video discusses how an AI research agent works, crafting AI workflows, and executing tasks. The AI agent uses large language models for its operations, with the help of tools that facilitate task completion. 00:56 🎛️ The AI agent's efficiency depends on the quality of task execution and its ability to correctly reprioritize tasks, and hence building agents for specific tasks can be more effective. 02:05 📨 An AI research agent can be used in various ways, such as triggering a workflow when someone receives an email. The agent can analyze the incoming communication, derive insights, and compile it into a specific format such as a prioritized list. 02:34 🔄 The video suggests that an AI research agent can stitch together information from different systems, providing additional decision-making support for humans. 03:18 🖥️ The host showcases how to set up a research agent, deploy it as a web service and use it in business workflows. Steps include creating tools for the agent to search the internet, scrape websites, and summarizing content. 06:07 🛠️ Details on how to create a tool for scripting website data are provided, including using functions, headers, and APIs. 07:02 📚 One of the challenges addressed in the video relates to the token limit inherent in large language models. Two strategies to handle this include the MapReduce method of summarizing content, and VectorSearch, which creates a vector embedding of a large content piece. 14:17 🌐 The host then converts the AI research agent app into a web app by using streamlit, setting page configurations, and creating text inputs. Testing is done on the research results the agent can fetch. 16:37 💻 To make the research agent more versatile, it is suggested to deploy it as a web service to be embedded in a company's business workflow. The AI research agent can be turned into an API endpoint using FastAPI. Finally, the API endpoint is tested and deployed using a cloud platform. 19:52 💻 The API endpoint developed for the research agent is live and can be called via the API. The video also proposes embedding it within the business workflow. 20:20 📩 Automating business processes using make.com is demonstrated. For example, an incoming email can trigger information extraction about sender and company, then fed into the research agent for a background check. 21:02 🎯 The video walks through the process of setting up Gmail in make.com to watch incoming emails and trigger the research agent workflow. 23:51 🧩 The integration of OpenAI is shown to extract name and company information from emails, using chat completion methods. 24:19 🌐 The extracted information is then used in the Google Cloud platform and passed on to the research agent through an API endpoint. 25:02 👨‍💻 The whole system is automated to run every 15 minutes, checking for emails and triggering workflows for each email. The resulting data from the AI research agent is then organized in an Airtable. 25:29 🔄 Links to other workflow templates are provided that allow the research agent to be triggered from various points like Telegram, Google Forms, ClickFunnels and even Shopify. Made with HARPA AI

Amazing !!!! Will be nice review an scenario with more than one AI Agent interacting.

This is an amazing use case, well done.

just tried the AI research agent in your link, and it worked like magic! getting the research agent that dont hallucinate is so useful

What a great video, super informative and interesting.

Really great video, thank you so much

Such an underated channel . Well done Jason

Great video Jason

Excellent video! 👍

WE NEED MORE VIDEOS LIKE THIS MY MAN FR

Very good informatiin. Great video

Another Awesome video

I am very thankful to you for this!

Great video!

Absolutely loving this content! very informative and useful for my projects, most of the stuff you showed are stuff I have tinkered with but couldn't get working nicely, you have showed me the light!! Do you have a donation page? or a Patreon page?

My heads been spinning since watching this video. Truly interesting use case.

so amazing technology😲😲.. thx to insightful video

I'm not an engineer but I know enough code to be dangerous. Having you walk us through every step is such a big help to someone like me and I'm sure many others. 非常感谢您！

Hey Jason - Awesome work!! Very informaive, and clearly broken down! Q: How wold you suggest caculating the approximate total combined costs per cycle from Gmail-to-AirtableRecordEntry? Thanks again!!

very useful, thanks Jason, I want more content about application of ChatGPT :)))

Impressive work!

I have been continuously learning and understanding all I can about using langchain WITHOUT OpenAI. I admit that it would be so much easier just to pay someone else for the use of their GPU's!

Amazing work Jason. Youre on fire!!! I have a few ideas/questions for your next videos. Please do a video on how to use OSS LLM such as LLama-2 to do embedding, how can we have a small scale agent, and how to do finetune/embedding for specific use case. Again, youre amazing Jason!

Is there any chance that you will make a similar video but using some open-source model and completely free tools?

user agent is a blessing in desguise!

Amazing! Thanks.

Amaizing projects of AI asist. Added to my to do list

Wow! How is it that I'm just discovering his channel now? Your videos are really amazing ❤️

We can probably use this for information about any stocks for the next day trading and also run some sentiments analysis on it.... This is great

This was great! I’m converting this into JavaScript/ReactJS.

This is really cool, I'm working on the stuff also.

Fantastic!

Awesome, thanks a lot

This is gold! ❤

Thank you for teaching me

Hey Jason, awesome tutorial, please do one using openAI Whisper

You are a genius :) damn... 🤯

In the world of junk get rich quick AI content, your content is the one I never want to miss

Thanks!

This is a masterpiece

Hi @jason ! Your vid is awesome. 1 question tho, how do you know what to fill in under GCP's Credentials: "Authorized Redirect URIs"?

Fantastic

🤯what a legend

What I think is hilarious, is that some day, AI Jason will be read and watched by an AI that is learning how to do suff. and it will say. Wow What a great site. Save that in my long term.

would request you to make more content :)

This is amazing. Can you make another video how this research app can combine the data from Chroma and make the research?

Jason, thank you so much ! This is really amazing. I wonder if you could do a video on Agents.

Really cool! Love what you've created here and it seems to work much better than the openai plugins or bing search. Would be great to see a version that minimizes external "services" like make. This seems great for personal projects, but I'm not sure how well it scales? What are your thoughts?

yaaaaay... for your next video can you ask it to research how to generate the maximum amount of paperclips possible please? just for a personal project I'm working on

Excellent tutorial Jason. I have an issue with the tiktoken while its running; "PanicException: Encoder and decoder must be of equal length; maybe you had duplicate token indices in your encoder?".

Video full of 🥇 gold

Nice vid. Just wondering what are the costs of running this...seems all the api's used have some form of pricing.

great amazing

Have you found that 3.5 is good enough to extract accurately? I have trouble trusting it for anything beyond choosing functions

I want to play around with this but am new to python and coding in general - Do you recommend that I install Python for web development on Windows, using the Windows Subsystem for Linux (WSL) or just install Python from the Microsoft store, using the basic Python3 interpreter? Sorry for the newbie question but hopefully someone can chime in so I start off on the right foot!

you can also save some api calls instead of using browserless to use puppeteer, which render already has pre-installed

I'd like to see real world testing of this and similar applications to know which issues need addressing before they are production ready.

12:54 this is quite interesting. LLMs often ignores the instructions, and the way to fix it is to repeat it - or make other request. Like - one instruction per prompt, but it may be very expensive. I actually can't wait when open source models will get gpt-4 quality so I can just dedicate my own 4090 to execute multiple agents 24/7

It's good but it doesn't actually do the search iterations. It just pulls the first results, then summarizes. (See demo on my channel). The behavior I'd like to see is manually programmed iteration: 1) Search / summarize 2) Search again to expand the ideas 3) Analyze and create a conclusion. For the 3rd step the output length should be optional. Thank you, very cool tool!

nice video...

Good video! Did I miss where you protected your API endpoint though? Anyone could use it or attempt to compromise it this way, couldn’t they?

Hey Jason, thanks for the video! I've used all of the same exact code and set up accounts, but my agent doesn't seem to be able to search on the internet, still limited to pre 2021. Do you know why that may be the case?

This looks great. I think it would better though for it to be added in as a ChatGPT plugin

So if I just want to deploy to streamlit, I guess I wouldn’t need Step4? And can we use streamlit features like showing graph data or use Langchain to intigrate with Google sheets?

The problem that I seen is, currently does Large Language Models (LLM) overall, have pretty short context window (Claude has about 100k context windows what is really good, but it's not nearly as smart as ChatGPT-4), and so their ability to cross examine many papers and their cross references is pretty limited, and beside that they don't seem to understand concepts, so their reasoning is quite limited too, but it's expected to improve fast, Yan LeCun and his researches are working on those problems.

Hi can this be tailored to technical or scientific research