Discover the Power: Connecting Data and Files to OpenAI using LangChain and Text Embeddings

In this tutorial, you'll learn how to connect data and files to OpenAI using LangChain and text embeddings.

Langchain is a powerful data management platform that allows you to connect data and files to OpenAI using text embeddings. This tutorial will show you how to use Langchain to connect data and files to OpenAI, and how to use text embeddings to make the data rich and searchable. By the end of this tutorial, you'll be able to connect data and files to OpenAI using Langchain!

✅ **What You'll Learn**:
1️⃣ Overview of the process of connecting data to OpenAI
2️⃣ Step-by-step guide on connecting data & files to OpenAI using LangChain.
3️⃣ Introduction to Text Embeddings: Making your data richer & easily searchable.
4️⃣ Best practices and pro tips for efficient data connection.

🔗 Useful Links:

📖 **Chapters**:
00:00 - Introduction
06:40 FAISS
08:40 Langchain
11:28 Walkthrough of PDF Chat Search
31:00 Wrap Up

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[WeeklyTubeShow]

Nice, I oughta try this!

I tried to use S3 to store some novels, then have a group of Assistants each perform a step in an extremely detail process of adapting novels into screenplays. I got as far as setting up a Lambda function, but I realized I set the whole thing up wrong and that I had a TON of things I need to do first - like thoroughly indexing the novels to make extracting and cross-checking things easier.

It was supposed to be an expanded version of a process I was running with knowledge files alone and had become too big of a job for one GPT.

[helrod]

liked your easy-to-understand presentation. Will watch the others. Hopefully you can do some follow/code along presentations.

[stereomission]

Thank you for doing this tutorials! I've new to coding and your videos are super useful to get started. I'm having a lot of issues making FAISS work in my environment as I'm getting some errors with Python 3.12, which is what I have install. Why did you pick FAISS over Chroma or some of the other "standard" options? :) Other than that, please keep doing this videos I'm following you as I progress in my learnings.