An interesting suggestion is the use of an agent to explore a PostgreSQL database, allowing for queries to be made and generating graphs as a result. This approach makes the data analysis process much more accessible and visual, facilitating the interpretation of results in a dynamic and interactive way. This type of application can be extremely useful for professionals who need to perform quick and precise analyses. Thanks for the video.
Very clear and helpful use case for all types of data analysis. Would be great if the Agent could save the analysis work as a Jupyter notebook, or alternatively the session state saved for future reference or sharing.
@@arthuraquino8356 Thanks! I'm interested in Text2SQL, but there are lots of structural problems with analytics that an agent won't be able to solve. Like stakeholders not knowing exactly what they want to see & data often being very messy and only the analysts knowing what data is reliable! Do you have a particular problem within text to SQL?
@@WW_AI_Adventures I have been trying to use pgvector with hybrid search to make specific queries and then have the agent use the SQL query tool because the select query needs to be exact. For example, what is the stock of the product "chair model jess", where if I misspell a letter and the model does not have the nuance, it will confirm the error in the select. That is why I am trying to validate the term before using the hybrid search and then make a query. But I don't know if this would be a better way.
So another useful AI Agent for data visualization is rtrvr ai, an AI Web Agent Chrome Extension, as it can create graphs of tables and other information of web pages directly within the side panel!
make more videos on agents and langgraph we are interested, next create a hospital receptionist agent which will suggest the particular doctor. schedule appointment and also modify the appointment in google calender or google sheets
@@GauravWankhede-x5q Yes you could absolutely use that model ai.google.dev/gemini-api/docs/models/gemini-v2#improved-tool-use You might need to have a play around with the prompt & tool arguments though to make it work well.
@@WW_AI_AdventuresThank You sir for the reply, My Planning is to use Gemini based System which will Automate the Data Science project. And I am going to use FastAPI, hence I can Integrate those API with any Tech Stacks
Thanks for the breakdown! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
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An interesting suggestion is the use of an agent to explore a PostgreSQL database, allowing for queries to be made and generating graphs as a result. This approach makes the data analysis process much more accessible and visual, facilitating the interpretation of results in a dynamic and interactive way. This type of application can be extremely useful for professionals who need to perform quick and precise analyses. Thanks for the video.
Thanks for the suggestion 🙏
Very useful and very professionally produced!
@@iwswordpress thanks! Glad you liked it
Very clear and helpful use case for all types of data analysis. Would be great if the Agent could save the analysis work as a Jupyter notebook, or alternatively the session state saved for future reference or sharing.
This is useful and awesome video, Thanks for sharing.
Thanks - Glad you liked it!
Thank you very much, it was an awesome tutorial!
Glad you enjoyed it!
Your videos are very good!
It would be interesting to make other examples of SQL Langgraph agents as well
@@arthuraquino8356 Thanks! I'm interested in Text2SQL, but there are lots of structural problems with analytics that an agent won't be able to solve. Like stakeholders not knowing exactly what they want to see & data often being very messy and only the analysts knowing what data is reliable!
Do you have a particular problem within text to SQL?
@@WW_AI_Adventures I have been trying to use pgvector with hybrid search to make specific queries and then have the agent use the SQL query tool because the select query needs to be exact. For example, what is the stock of the product "chair model jess", where if I misspell a letter and the model does not have the nuance, it will confirm the error in the select. That is why I am trying to validate the term before using the hybrid search and then make a query.
But I don't know if this would be a better way.
So another useful AI Agent for data visualization is rtrvr ai, an AI Web Agent Chrome Extension, as it can create graphs of tables and other information of web pages directly within the side panel!
@@rtrvr-ai Thanks for the tip, will check it out
make more videos on agents and langgraph we are interested, next create a hospital receptionist agent which will suggest the particular doctor. schedule appointment and also modify the appointment in google calender or google sheets
Thanks for the suggestion!
Can Google Gemini 2.0 Flash will support this process? I want to use it as a hobby project free of cost.
@@GauravWankhede-x5q Yes you could absolutely use that model ai.google.dev/gemini-api/docs/models/gemini-v2#improved-tool-use
You might need to have a play around with the prompt & tool arguments though to make it work well.
@@WW_AI_AdventuresThank You sir for the reply, My Planning is to use Gemini based System which will Automate the Data Science project. And I am going to use FastAPI, hence I can Integrate those API with any Tech Stacks
Thanks for the breakdown! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?