LangChain & Vector Databases in Production

LangChain 101: from Zero to Hero

Module 1: Large Language Models and LangChain

Intro to LLMs and LangChain module Quick Intro to Large Language Models Understanding Tokens Building Applications Powered by LLMs with LangChain

Exploring the World of Language Models: LLMs vs Chat Models Exploring Conversational Capabilities with GPT-4 and ChatGPT Build a News Articles Summarizer Using the Open-Source GPT4All Model Locally What other models can we use? Popular LLM models compared

Module 2: Learning How to Prompt

Intro to Prompting module Intro to Prompt Engineering: Tips and Tricks Using Prompt Templates Getting the Best of Few Shot Prompts and Example Selectors Managing Outputs with Output Parsers Improving Our News Articles Summarizer Creating Knowledge Graphs from Textual Data: Unveiling Hidden Connections

Module 3: Keeping Knowledge Organized with Indexes

Intro to Keeping Knowledge Organized with Indexes Exploring The Role of LangChain's Indexes and Retrievers Streamlined Data Ingestion: Text, PyPDF, Selenium URL Loaders, and Google Drive Sync What are Text Splitters and Why They are Useful Exploring the World of Embeddings Build a Customer Support Question Answering Chatbot Conversation Intelligence: Gong.io Open-Source Alternative AI Sales Assistant FableForge: Creating Picture Books with OpenAI, Replicate, and Deep Lake

Module 4: Combining Components Together with Chains

Introduction to Chains Chains and Why They Are Used Create a YouTube Video Summarizer Using Whisper and LangChain Creating a Voice Assistant for your Knowledge Base LangChain & GPT-4 for Code Understanding: Twitter Algorithm 3 ways to build a recommendation engine for songs with LangChain Guarding Against Undesirable Outputs with the Self-Critique Chain

Module 5: Giving Memory to LLMs

Introduction to LLM Memory Optimizing Your Communication: The Importance of Monitoring Message History Mastering Memory Types in LangChain: A Comprehensive Guide with Practical Examples Chat with a GitHub Repository Build a Question Answering Chatbot over Documents with Sources Build ChatGPT to Answer Questions on Your Financial Data DataChad: an AI App with LangChain & Deep Lake to Chat with Any Data

Module 6: Making LLMs Interact with the World Using Tools

Introduction to Tools LangChain's Tool Utilization: Examining Diverse Applications through Illustrative Scenarios Supercharge Your Blog Posts Automatically with LangChain and Google Search Recreating the Bing Chatbot Integrating Multiple Tools for Web-Based Question-Answering Building a Custom Document Retrieval Tool with Deep Lake and LangChain: A Step-by-Step Workflow

Module 7: Using Language Model as Reasoning Engines with Agents

Introduction to Agents What are Agents: Agents as Content Generators and Reasoning Engines Exploring the Fascinating World of Autonomous Agents: A Closer Look at AutoGPT and BabyAGI Using AutoGPT with LangChain Agent Simulation Projects: CAMEL and Generative Agents Building Autonomous Agents to Create Analysis Reports Current Insights and Trends of Agents

Next Courses

🤯Training & Fine-Tuning LLMs Course 😎RAG