Updated 27 Aug
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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.
4.3
37 lessons
1 project
6h
Created by Educative
What's included
- 37 lessons across 10 modules
- 9 quizzes with instant feedback
- 1 project in preconfigured environments
- AI Tutor on every lesson
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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
Learning Roadmap
1.
Introduction
Introduction
Explore generative AI, prompt engineering, and practical applications using LangChain.
2.
Getting Started with Foundation Models
Getting Started with Foundation Models
Explore leading AI platforms and their capabilities for developing advanced applications.
3.
Vector Databases
Vector Databases
3 Lessons
3 Lessons
Explore vector databases and embeddings for enhanced AI application development.
4.
PostgreSQL as a Vector Database
PostgreSQL as a Vector Database
3 Lessons
3 Lessons
Explore efficient vector storage and build a personalized movie recommendation service.
5.
Pinecone Vector Database
Pinecone Vector Database
3 Lessons
3 Lessons
Explore Pinecone’s capabilities for building efficient AI-driven recommendation systems.
6.
Redis as a Vector Database
Redis as a Vector Database
3 Lessons
3 Lessons
Explore vector search in Redis and build a movie recommendation service.
7.
LangChain Framework Components
LangChain Framework Components
5 Lessons
5 Lessons
Explore LangChainGo’s framework for efficient AI application development with LLMs.
8.
Using Vector Stores with LangChain
Using Vector Stores with LangChain
4 Lessons
4 Lessons
Explore the integration of vector stores with LangChain for enhanced AI applications.
9.
Build with LangChain
Build with LangChain
5 Lessons
5 Lessons
Develop chat applications using RAG for enhanced accuracy and user interaction.
Certificate of Completion
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Developed by MAANG Engineers
Trusted by 3.1 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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