# LangChain Samples

AI application development framework examples using LangChain for building LLM-powered applications with chains, agents, and memory

> Canonical page: https://elysiatools.com/en/samples/langchain

- **Category:** AI & Machine Learning

- **Keywords:** langchain, ai, llm, chains, agents, memory, vector-stores, prompts

## Overview

AI application development framework examples using LangChain for building LLM-powered applications with chains, agents, and memory

## Examples

- **LangChain Fundamentals and Basic Chains**: Core concepts and basic chain implementations including LLM chains, prompt templates, and simple sequential chains
- **LangChain Agents and Tools**: Advanced agent implementation with custom tools, web search, API integration, and multi-agent systems
- **LangChain Vector Stores and RAG**: Vector database integration with RAG (Retrieval-Augmented Generation) using Chroma, Pinecone, and custom vector stores

## When to use

- Use this sample set when you want reference inputs for LangChain Samples.
- Use it to preview output formats and compare related sample variants.

## How it works

- Open a sample entry to inspect the prepared example payload or asset.
- Compare it with related tools to understand how the workflow connects.

## Use cases

- LangChain Fundamentals and Basic Chains
- LangChain Agents and Tools
- LangChain Vector Stores and RAG

## Frequently asked questions

### What is included in LangChain Samples?

This page includes curated sample entries, related tools, and neighboring sample collections for LangChain Samples.

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