Generative_ai_with_langchain

Visit Tool

Generative_ai_with_langchain is a code repository for building production-ready LLM applications and advanced agents. It provides code examples and resources for developing AI solutions using Python, LangChain, and LangGraph.

Claim this tool

No Views Yet

At a glance

Pricing

—

Free tier

—

API

—

Skill level

Technical

About

What is generative_ai_with_langchain?

Generative_ai_with_langchain is a comprehensive code repository designed for developers and engineers looking to build sophisticated LLM applications and advanced agents. It leverages popular frameworks like Python, LangChain, and LangGraph to facilitate the creation of production-ready AI solutions. The repository serves as a practical companion to a book on generative AI with LangChain, offering a wealth of code examples and resources to guide users through the development process. It's ideal for those aiming to implement cutting-edge generative AI functionalities.

Best used for

Building and deploying production-ready LLM applications and advanced AI agents using Python, LangChain, and LangGraph.

Common actions

build LLM applications

develop AI agents

learn LangChain

implement generative AI

access code examples

github copilot"AI Agents"collaborationface swappingopen-sourceautomated workflowdeepfakeworkflowslow-code/no-code

Capabilities

Key features

Production-ready LLM apps
Advanced agents
Python, LangChain, LangGraph
Code examples
Companion to book

Target Audience

AI DevelopersMachine Learning EngineersSoftware EngineersResearchers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Does this repository include all the code examples from the 'Generative AI with LangChain' book?

Yes, this repository is designed as a companion to the book 'Generative AI with LangChain' and contains a comprehensive collection of code examples that illustrate the concepts and techniques discussed in the book.

What are the primary programming languages and frameworks used in these code examples?

The repository primarily uses Python, leveraging popular frameworks such as LangChain and LangGraph. This combination allows for the development of sophisticated LLM applications and advanced agents.

Is this repository suitable for beginners in generative AI or LangChain?

While it provides extensive code examples, its 'advanced' complexity suggests it's best for developers with some foundational understanding of Python and AI concepts, or those following along with the companion book.

Trending

Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce