Master LangChain LLM Integration: Build Smarter AI Solutions

سرفصل های دوره

Develop Intelligent AI Solutions with LangChain - Chatbots, Custom Workflow, LLMs, and Prompt Optimization Techniques

1 - Introduction

1 -Introduction

2 -Getting Started with LangChain A Framework for Smarter AI Apps

2 - Foundation Lectures.html

2 - Git Repository for Demos.html

3 -LangChain Components Building Blocks of AI-Powered Workflows

4 -Real-World LangChain Applications AI in Action

2 - Setup

1 -Setting Up LangChain Your First Step Towards AI Development

2 -Conda Setup for LangChain Managing Environments Easily

3 -Run Your First LangChain Program & See AI in Action

4 -Ollama 101 An Intro to Local AI Model Deployment

5 -Setting Up Ollama Running AI Models Without the Cloud

6 -Ollama & LangChain Seamless LLM Integration for Smarter AI

7 -Bringing LangChain & Ollama Together Hands-on Integration Guide

8 -Exploring the LangChain Ecosystem Tools, Features & Capabilities

3 - Document Loaders

1 -Intro to Document Loaders Feeding AI the Right Data

2 -PDF Loader Extracting Insights from PDF Files

3 -CSV & JSON Loaders Structuring AI-Friendly Data

4 -Handling Unstructured Documents Making Sense of Raw Text

5 -Directory Loader Managing Multiple Files for AI Processing

4 - Document Splitter

1 -Splitting Documents Why Its Crucial for AI Processing

2 -Character-Based Text Splitters Breaking Down Large Texts

3 -Hands-on Demo Using Character Splitters in LangChain

4 -Structured Text Splitting Keeping AI Organized

5 -Splitting HTML Documents Extracting AI-Readable Content

6 -Splitting JSON Files Making Complex Data AI-Friendly

7 -Markdown Splitter Preparing Notes & Code for AI Processing

8 -Splitting Code & Text Processing Language & Markdown Efficiently

5 - Embeddings

1 -Intro to Embeddings Transforming Text into AI-Readable Data

2 -Embeddings Playground Experimenting with AIs Understanding

3 -Using Ollama for Embeddings Running Models Locally

4 -OpenAI Embeddings Exploring Cloud-Based Vectorization

5 -Creating Embeddings for Text Files Structuring Raw Data

6 -Embedding PDFs Enhancing AI Search & Retrieval

7 -HuggingFace Embeddings Open-Source Models in Action

8 -Caching Embeddings Optimizing Speed & Efficiency

9 -Fake Embeddings Understanding AI Testing Techniques

6 - Vector Store

1 -Intro to Vector Stores Storing AIs Knowledge Smartly

2 -Vector Store Demo How AI Remembers & Retrieves Data

3 -FAISS Vector Store Optimizing Search for Speed & Accuracy

4 -FAISS with HuggingFace Supercharging AI Storage & Retrieval

5 -ChromaDB & WebStore Efficient Data Storage for AI Apps

6 -ChromaDB for PDFs Storing & Searching AI-Friendly Documents

7 -Sqlite Vector Store Lightweight Storage for AI Data

8 -Weaviate Vector Store Scalable AI Search & Discovery

9 -Qdrant Vector Store (InMemory) Fast & Efficient Retrieval

10 -Qdrant Vector Store (Container) Deploying AI Search at Scale

11 -PineCone Vector Store The Powerhouse for AI Indexing

12 -Vector Stores Recap Choosing the Right Storage for Your AI

7 - Retrievers

1 -Retrievers 101 How AI Finds the Right Information

2 -Different Retrieval Methods Which One Suits Your AI

3 -Retrievers with Scoring Ranking AI Results for Accuracy

4 -Multi-Query Retrieval Enhancing AIs Search Capabilities

5 -Ensemble Retrieval Combining BM25 & FAISS for Best Results

6 -Context Reordering Making AI Smarter with Better Context

7 -Parent-Child Document Retrieval Understanding Relationships

8 - Chat Model & Messages

1 -Intro to Chat Models How AI Conversations Work

2 -Understanding Chat Messages Structuring AI Interactions

3 -Chat Model Demo Creating Your First AI Chatbot

4 -LangChain Chat Model Connecting AI with Workflow Chains

5 -Chat Models & Tool Integration Expanding AI Capabilities

6 -Binding & Invoking Tools Making AI More Interactive

7 -Human-In-The-Loop AI When to Let Users Control AI

8 -Managing Model Token Usage Optimizing AI Costs

9 -Rate Limiting in AI Keeping Performance in Check

10 -Few-Shot Prompting Teaching AI with Small Examples

11 -Prompt Templates Structuring AI Requests for Better Output

12 -Composing Effective Prompts Mastering AI Communication

9 - Output Parsers

1 -String Output Parser Extracting AI Responses as Text

2 -JSON Output Parser Formatting AI Outputs for Apps

3 -YAML Output Parser Structured AI Outputs Made Simple

4 -Custom Output Parsing Tailoring AIs Responses to Your Needs

10 - LCEL

1 -Runnable Interface Connecting AI Components Dynamically

2 -LCEL Demo Running LangChain Workflows in Action

3 -Working with Chain Runnables Streamlining AI Execution

4 -Runnable PassThrough Making AI More Modular

5 -Parallel Execution Speeding Up AI Tasks Efficiently

6 -Streaming with Runnables Handling AI Data in Real-Time

7 -Default Invocation Optimizing LangChain Workflow Calls

8 -Sub-Chain Routing Directing AI Processes Smartly

9 -Self-Constructing Chains AI That Adapts & Evolves

10 -Inspecting Runnables Debugging AI Workflows Effectively

11 -LLM & Chain Fallbacks Handling AI Failures Gracefully

11 - Example Selector

1 -Example Selection Optimizing AI Responses with Context

2 -Selecting by Length Keeping AI Answers Concise

3 -Selecting by Similarity Matching AI Responses to Input

4 -Selecting by N-Gram Overlap Enhancing AI Relevance

5 -MMR-Based Selection Improving AIs Answer Diversity

12 - Tracing & Evaluation

1 -LangSmith Introduction Tracing AI Workflows Effectively

13 - Foundation

1 -AI & ML Basics Understanding How Machines Learn & Think

2 -Intro to LLMs How Large Language Models Transform AI

3 -Gen AI & RAG Unlocking Smarter AI with Retrieval-Augmented Generation

4 -Vectors & Similarity How AI Finds Meaning in Data

5 -Embeddings & Vectors The Foundation of AI Understanding

6 -Vector Databases Storing & Retrieving AI Knowledge Efficiently

7 -Indexes in AI Optimizing Search & Retrieval for Faster Responses

8 -AI Agents How They Think, Act & Automate Tasks

9 -Chains & Workflows Connecting AI Components for Smart Execution

14 - Conclusion

1 -Conclusion

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تولید کننده: Udemy