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Build AI Applications with LangChainGo

Learn to build real-world AI applications in GO language using LangChain and vector databases like PostgreSQL, Pinecone, and Redis.

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Overview

Content

Reviews

This course is designed specifically for Go developers who want to break into the world of generative AI without switching tech stacks. You’ll learn to build real-world AI applications using Go-native tools, including the powerful LangChainGo framework, and integrate with leading vector databases like PostgreSQL (pgvector), Pinecone, and Redis. You’ll start with the fundamentals of generative AI, prompt engineering, and platforms such as OpenAI, Cohere, and Hugging Face that offer foundation models. Then, dive deep into working with embeddings and vector search and use Go to implement retrieval-augmented generation (RAG) pipelines. You’ll also build complete chat applications that can search and summarize document content—all powered by Go. This course will help you integrate scalable, high-performance AI features into your Go applications, whether you’re a backend engineer or system developer.

This course is designed specifically for Go developers who want to break into the world of generative AI without switching tech ...Show More

WHAT YOU'LL LEARN

An understanding of the fundamentals of generative AI and large language models

The ability to write prompts and interact with LLMs

Hands-on experience using the LangChainGo framework for chaining, embeddings, and retrievers

An understanding of integrating Go with vector databases (PostgreSQL, pgvector, Pinecone, Redis)

An understanding of the RAG (retrieval-augmented generation) workflows in Go

An understanding of the fundamentals of generative AI and large language models

TAKEAWAY SKILLS

AI Frameworks

Machine Learning

Database

Large Language Models (LLMs)

Content

38 Lessons1 Project9 Quizzes

Introduction

4 Lessons

Explore generative AI, prompt engineering, and practical applications using LangChain.

About This Course

Introduction to Generative AI and Large Language Models

Introduction to Prompt Engineering

Quiz: Introduction

Getting Started with Foundation Models

7 Lessons

Explore leading AI platforms and their capabilities for developing advanced applications.

Quiz: Getting Started with Foundation Models

Vector Databases

3 Lessons

Explore vector databases and embeddings for enhanced AI application development.

Introduction to Vector Databases and Embeddings

Introduction to Vector Search

Quiz: Vector Databases

PostgreSQL as a Vector Database

3 Lessons

Explore efficient vector storage and build a personalized movie recommendation service.

Introduction to pgvector Extension in PostgreSQL

Hands-On Application: Movie Recommendation Service

Quiz: PostgreSQL as a Vector Database

Pinecone Vector Database

3 Lessons

Explore Pinecone’s capabilities for building efficient AI-driven recommendation systems.

Introduction to Pinecone

Hands-On Application: Movie Recommendation Service

Quiz: Pinecone Vector Database

Redis as a Vector Database

3 Lessons

Explore vector search in Redis and build a movie recommendation service.

Introduction to Vector Search in Redis

Hands-On Application: Movie Recommendation Service

Quiz: Redis as a Vector Database

LangChain Framework Components

5 Lessons

Explore LangChainGo’s framework for efficient AI application development with LLMs.

Introduction to LangChain

LLM and Embedding Model Components of langchaingo

Document Loaders

Chain Component

Quiz: LangChain Framework Components

Using Vector Stores with LangChain

4 Lessons

Explore the integration of vector stores with LangChain for enhanced AI applications.

Vector Store and Retriever Components

Using PostgreSQL as a Vector Store with LangChain

Using Pinecone as a Vector Store with LangChain

Quiz: Using Vector Stores with LangChain

Build with LangChain

5 Lessons

Develop chat applications using RAG for enhanced accuracy and user interaction.

Build Chat Applications

Understanding Retrieval-Augmented Generation (RAG)

Build an Application to Chat with Documents Using RAG

Build a Document Loader for Minio Object Store

Quiz: Build with LangChain

10.

Wrap Up

1 Lessons

Wrap it up with confidence—you’ve completed your journey with LangChainGo.

Conclusion

Final Project

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Free Resources

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