Structured Data Extraction from ChatGPT with LangChain 

Hey MG, Just wanted to say a big thank you for your videos! They've helped me a ton in creating my chatbot. You're a real pro, and each video is a goldmine of info. I'm looking forward to your upcoming content. Keep it up! Thanks again !!!

Both of you look so alike. Are you twins? There's no way to tell you apart. I really love seeing you both together.

the amount of effort put into this video is well appreciated!

Your videos should have more views/likes/subscribes.

Great one! I found out ( on the 2nd listening) that my questions were answered!

It would be intriguing to craft a video by employing output parsers and functions during the interaction with a vector store. Engage in querying your own data, then export it as a JSON using OpenAI functions. Utilize the langchain output parser in conjunction with a qnachain to communicate with the vector store.

The intro is cool😂😂😂😂

anyone tried this with langchain 0.2 or later versions of lagchain 0.1 ? cz, this code is deprecated

Great video!

what if i use pydantic on gpt models which supports function calling, will it make the extraction more powerful or will it lag instead. ? I will be using the extraction on audio transcripts. Also, any way to effectively do dialization on the transcripts? which helps te model to understand who is the person and what details need to be captured even if there are multiple people in the transcript.

how can i integrate a chromadb on azure? is it with blobstorage?

Output parsers work as well.