LangChain, SQL Agents & OpenAI LLMs: Query Database Using Natural Language | Code

Discover how you can harness the power of LangChain, SQL Agents, and OpenAI LLMs to query databases using natural language. This step-by-step tutorial will guide you through setting up a powerful, intuitive, and user-friendly database querying system.

Building a Document-based Question Answering System with LangChain, Pinecone, and LLMs like GPT-4.

Revolutionizing Search: How to Combine Semantic Search with GPT-3 Q&A

Building a GPT-4 Chatbot using ChatGPT API and Streamlit Chat

🚀 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 $60K 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.

#LangChain #Pinecone #GPT4 #ChatGPT #SemanticSearch #DocumentQnA"

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[neerajshrivastava]

Excellent Video and knowledge sharing !!!! Thank you very much Pradip

[AshishKhurana]

I normally never comment on videos but this was a very informative video. Thank you!

Thanks Alot Dear . Video is very Good and meaningful

[mr.premponvilai]

Hi Pradip, thanks for a very wonderful concepts and knowledge. Now, I'm trying to find the connection string for Azure SQL database but it's very hard to find and unable to connect it yet, lately. If you have any resource or advice on this, itwould be very helpful. Thank you.

[Tirtharaj___Talukdar]

Hi Pradip really helpful video but while using the SQLDatabase Agent with gpt-3.5-turbo model I get the following error: "OutputParserException: Could not parse LLM output: `Action: list_tables_sql_db, " . I followed the exact same steps as you and this error only seems to happen with only this model. If I use models like text-davinci-003 this does not seems to happen. Please can you help me !

[manojrangera]

Hi @Pradip Nichite
can we use this to get query from a big query table?

[adiy]

@FutureSmartAI In your current implementation, is the data in your database table gets shared with ChatGpt? If yes, is there any safer way to accomplish the same without actually sharing the data in your database with chatgpt?

[manthnimisha]

Hey.. Great video and explanation !!
I want to know how can I connect my Redshift Database here?

[jayrn]

Hi sir. Can we use integrate streamlit to see the o/p of sql queries?

[nishkamjan]

Can you please help in establishing connection to a postgresql server ? will the same sqltoolkit work for it also?

[apdallhapasher]

I'm using sql server on the rds, how can i get my connection string

[bunty]

Am using Oracle Autonomous CLoud database. How do i get its connection string?

[yashkolhatkar]

Hello Pradeep
Thank you for the useful video.
I have a question.
Can we connect two databases using single agents.

[pranjalgupta]

@pradip, do you know if we can have same solution using Redshift instead of mysql via rds?

[karthikvakee]

Is there a way to get the query alone while using memory along with this

[vedantgosavi]

hi, I need help with postgre sql db connection string.

[pravingupta]

Hi Pradeep, it was nice explained . pls help me for SQL server connection string with Lang chain.

[SD-ioyu]

@Pradip : Great work!. I would like to seek some advice for one of my projects, where i would like to predict error code (eg: Error 8505) which correspond to error messages (Eg: Logger: NetworkError ). The error code and error messages were stored in SQL databank. Would it be good idea of using SQL Lang chain for this task? Is there any combination of Langchain could be used, as this is more into prediction of error code based message rather than query..

[SanjogMehta]

Hi Pradip, thanks for such an elaborate video on this. I have one question on this if you can help. In enterprise databases, there could be multiple users querying same database tables at a time very often. How does Langchain or LLM preserve and handle the context within that user's session without mixing it with others?