I Built an AI Financial Advisor in 10 Minutes using LangChain with Chain of Thought & ReAct

Learn how to leverage the power of custom tools to create specialized AI agents. This video walks through building a cool financial assistant bot using LangChain.

The Power of Custom Tools

- Increased flexibility, control, and specialization for your AI agents
- Customize for your specific needs - tweak existing tools or build new capabilities
- Control your agent's behavior based on the tools you provide
- Specialize for different domains like finance
- Adding Custom Tools

Create a class subclassing BaseTool and implement a _run method
Use the @tool decorator to convert a function into a tool

Building a Financial Assistant

- Tools for stock data, analysis, news, and recommendations
- AI uses Large Language Models and prompt engineering
- Plan and Execute and Chain of Thought allow the AI to reason and decompose problems

See It In Action

- Test on sample questions and watch the step-by-step reasoning
- Builds sophisticated responses leveraging the custom tools
- Lucidate members get access to code for this application
- Don't forget to like, subscribe, and share! Join Lucidate membership for code access!

0:00 - 0:54 Intro - Introducing the topic of Financial AGI and custom tools for LangChain agents.

0:55 - 2:00 Why Custom Tools - Explaining benefits like flexibility, control, and specialization.

2:00 - 3:30 Adding Tools - Overview of how to create custom tools by subclassing BaseTool. Mentions @tool decorator.

3:30 - 4:15 Demo Intro - Transitioning to demo of building a financial assistant bot.

4:15 - 6:00 Demo Part 1 - Walkthrough of stock data, analysis, and news tools. How AI uses LLM and prompt engineering.

6:00 - 7:30 Demo Part 2 - Testing the bot on sample questions and showing the step-by-step reasoning. Analyzing more complex questions.

7:30 - 8:30 Demo Part 3 - Demo of resilience when query is too complex. Gracefully handling edge cases.

[Robertson-xoeb]

I really appreciate your clear and simple breakdown on financial pitfalls! I lost so much money on stock market but now making around 5k to 7k every week trading different stocks and Crypto.

[YohansBrhane-oh]

This is a great content. I became a memebr at VP level, but I could not get access to your discord channel and the github repo. Can you please give me access? Thanks.

[eagleeyeblockchaingroup]

Spot on! We are experimenting with similiar approaches!

[ankurraut]

Such a good application!! can you pls share the github link ?

[snehilkumar]

Hi, I am also building a financial application using langchain on deFi data, it analyzes the data and provides investment based on analytics, I wanted to add news based sentiments. Also I became a VP member of your channel, would love to connect through discord, but unable to find it.

[klammer]

Well done Richard! Great work and looking forward to integrated it all into on cogent and coherent agent🤔🥳🦾