Mastering Natural Language to SQL with LangChain and LangSmith | NL2SQL | With Code 👇

Embark on a journey to redefine database querying with "Mastering Natural Language to SQL with LangChain | NL2SQL." This in-depth video guide will navigate you through the revolutionary process of converting natural language queries into SQL commands using LangChain. Here's what we'll cover:

🌟 Introduction to NL2SQL: Understand the basics of translating natural language to SQL with LangChain.

🔨 Building Your First NL2SQL Model: Step-by-step guide on creating a foundational NL2SQL model.

🎯 Incorporating Few-Shot Learning: How to enhance model accuracy using few-shot examples.

🔄 Dynamic Few-Shot Example Selection: Tailor your model's learning process with dynamic example selection for improved relevance.

🔍 Identifying Relevant Database Tables Dynamically: Techniques to automatically determine which tables to query, streamlining your SQL commands.

✍️ Customizing Prompts for Accurate Responses: Learn to customize prompts for clearer, more precise model outputs.

💬 Adding Conversational Memory: Enable your model to handle follow-up questions by integrating memory into your chatbot.

Designed for data scientists, developers, and anyone interested in leveraging AI for more intuitive database management, this video equips you with the knowledge to make your data querying as simple as having a conversation. Explore the forefront of natural language processing technology and transform your approach to database interactions.

🚀 Top Rated Plus Data Science Freelancer with 8+ years of experience, specializing in NLP and Back-End Development. Founder of FutureSmart AI, helping clients build custom AI NLP applications using cutting-edge models and techniques. Former Lead Data Scientist at Oracle, primarily working on NLP and MLOps.

💡 As a Freelancer on Upwork, I have earned over $100K with a 100% Job Success rate, creating custom NLP solutions using GPT-3, ChatGPT, GPT-4, and Hugging Face Transformers. Expert in building applications involving semantic search, sentence transformers, vector databases, and more.

#NL2SQL #LangChain #NaturalLanguageProcessing #DataScience #AI #DatabaseManagement #SQL

[farhankhan-eybf]

Thank you for this great Video.
Wating for next

[diptimanraichaudhuri]

Very well explained Pradip! Keep up the good work !

[zlvlool]

GREAT session. You are legend, smart, and helpful. thank you.

[JohnBoen]

I have been a database engineer for decades. I dream SQL...

You made the *perfect* tutorial for me :)

[raumwerk]

Excellent! I've already watched some 10+ other tutorials on LangChain SQL chats, but none of these really got beyond the basic demo for simplistic databases, completely ignoring the problems of token limits and providing custom table info to the LLM for more complex databases...so this one really stands out. Kind Thanks for the insights, and Greetings from Germany :-)

[aguntuk]

very good expalnation Pradip, really helpful . Thanks a ton

[mtsoul]

This is what i looking for. Really appreciated

[carloseduardogabrielsantos]

That's amazing, congratulations and thank you very much for making your time available to share you knowledge.

[sakalyamitra]

Went through the video and it is greatly explained in detail. The chaining explanation along with parallel visualization in Langsmith made it super easy to understand how the things are getting executed. Great video to master NL2SQL using Langchain.

[SanjayRoy-vzih]

Absolutely fantastic tutorial...only question that you on "top-k"... remember it is used only in case of vector embedding for neighborhood similarity search, or as it is called cosine similarity... otherwise it is of no use...if you are not embedding

[SarbaniMaiti]

This is awesome Pradip, you just built an application ready to go in production :)..very useful.

[kenchang]

Hi Pradit, thank you very much for a detailed video. It was valuable and insightful for my POC.

[YatanveerSingh]

Hi Pradip,

Thanks for your blog and this video. This helped me to understand how to use NLP to SQL in a very easy way.

I am able to use this on my database, however sometime I am getting list index out of range. This is happening specially if there are lot of rows in my tables.
So I am not sure if I use this in Production.

Can you advice.

Thanks
Yatan

[cqmufuo]

really amzing content sir, i learn so much from this vdeo
thank sir :)
love from hyderabad

[RibsCribs]

thank you for this video. learn a lot from it.

[RAJARAMRamamoorthi]

Have you used any GraphQL chain, if so, pls do a detailed view on that, very helpful session thanks

[kallolbecs]

Great video, can u make one for nl 2 mongodb as well?

[KumR]

Hey Pradip . Can we connect this to Oracle Fusion ERP

[naveennoelj]

Hi Pradip, very detailed explanation on NL2SQL, most comprehensive I have seen. Thank You. One quick Qs: Is it possible to take the output/results of the SQL query and display a chart (bar/pie/line) only if the results can be put on a chart or if the user asks for it. what would it take to do this?

[wealth_developer_researcher]

Thanks for nice video. I have one question. What if I am treating this .py file as API Endpoint. And want to use same chain per user. Here I can see you have used Streamlit cache resource so it comes from cache on same server. But my requirement is to use this as endpoint so that i can call it from any server