Try LangChain with Python and Upstash Vector
Learn how to use LangChain with Python, Jupyter, Upstash Vector, Redis, and more.
Unlock the future of software engineering with our cutting-edge course on AI-powered applications. This comprehensive program will transform you into a skilled AI developer, equipping you with the tools and knowledge to create sophisticated, intelligent software solutions.
What You'll Learn:
Harness the power of language models with LangChain
Leverage vector embeddings for advanced data processing
Design and implement intelligent chatbots
Create robust APIs for AI-driven applications
Implement ironclad security measures for AI systems
Tools You'll Learn:
OpenAI's state-of-the-art models for LLMs and embeddings
Upstash Vector Database for fast and efficient embedding data storage and retrieval
FastAPI for high-performance, yet simple, backend development
Upstash Redis for lightning-fast rate limiting and activity tracking
From foundational concepts to advanced techniques, this course offers a hands-on journey through the AI development landscape. You'll gain practical experience building real-world applications, ensuring you're ready to tackle the challenges of modern AI-driven software development.
Join us and position yourself at the forefront of the AI revolution.
🖥️ Code: https://github.com/codingforentrepren...
🚀 Sign up on https://www.upstash.com/?utm_source=cfe!
00:00:00 Welcome
00:02:40 Demo
00:07:50 Tool Overview
00:12:02 Project Setup
00:18:08 OpenAI LLM with LangChain
00:31:12 Prompt Templates with LangChain
00:37:40 Why we use Vector Embeddings
00:48:01 Using the Upstash Vector Database
01:00:14 Store Large Text Documents with LangChain and Upstash Vector Store
01:13:55 LangChain Chatbot with our Vector Store
01:21:30 Minimal Rest API Web App with FastAPI
01:24:53 LangChain on FastAPI with LangServe
01:31:54 Calling our Rest API-based LangChain
01:37:04 Remote Runnable with LangServe
01:44:52 Using Upstash Redis for Rate Limiting
01:51:26 Rate Limit Middleware for FastAPI
01:55:55 API Key-Based Rate Limiting
02:10:50 Thank you and next steps
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