Program-Aided Language Models with LangChain
Explore Program-aided Language Models implementation in LangChain, featuring code walkthrough, examples, and practical applications for enhanced language model performance.
LangChain Basics Tutorial - Tools and Chains
Explore LangChain's Tools and Chains: utility functions, basic chains, chaining, PAL Math, and API tools. Learn to develop applications using these powerful components.
The LangChain Cookbook - Beginner Guide to 7 Essential Concepts
Explore 7 essential LangChain concepts: Schema, Models, Prompts, Indexes, Memory, Chains, and Agents. Learn how to leverage these components for building powerful language AI applications.
Build Your Own OpenAI + LangChain Web App
Learn to create an OpenAI and LangChain-powered web app using Streamlit. This tutorial covers setup, app building, deployment, and showcases a live text globalization application.
Camel + LangChain for Synthetic Data & Market Research
Explore Camel project for synthetic data creation and market research using AI agents. Learn implementation techniques and practical applications through demonstrations and code examples.
Build ChatGPT Chatbots with LangChain Memory - Understanding and Implementing Memory in Conversations
Explore different memory types for ChatGPT chatbots using LangChain, including buffer, summary, window, and vectorstore memory. Learn implementation techniques for coherent conversations.
LangChain Models- ChatGPT, Flan Alpaca, OpenAI Embeddings, Prompt Templates & Streaming
Explore LangChain's capabilities with chat models, embeddings, and prompt templates. Learn to enhance responses and stream output for efficient language model integration.
LangChain Agents - Build Personal Assistants for Your Data
Learn to build AI personal assistants using LangChain agents, interact with APIs and tabular data, and explore advanced LLM applications in this Q&A session with industry experts.
The LangChain Cookbook Part 2 - Beginner Guide to 9 Use Cases
Explore 9 practical LangChain use cases, from summarization to agents, with hands-on examples and expert guidance for leveraging AI in various applications.
Fixing LLM Hallucinations with Retrieval Augmentation in LangChain
Learn to enhance LLM accuracy using retrieval augmentation in LangChain. Explore data preprocessing, embedding creation, vector database setup, and generative question-answering with citations for improved AI responses.
LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep
Learn to prepare text data for LLMs using LangChain tools: data loading, tokenization, chunking, and dataset creation. Practical guide for efficient text processing in AI applications.
Using LangChain with Multimodal AI to Analyze Images in Financial Reports
Learn to analyze financial reports with images using GPT-4 Vision and LangChain. Explore multimodal RAG techniques, codebase implementation, and result evaluation for enhanced document analysis.
Building a Full Stack AI Chatbot with Langchain, ChatGPT, and Singlestore - 2 Hour Tutorial
Build a full-stack AI chatbot using Langchain, ChatGPT, and Singlestore. Learn to train the chatbot on your own data and create a functional application in just two hours.
Advanced RAG Techniques - RAG Fusion Implementation - Lecture 6
Explore RAG fusion technique to enhance retrieval-augmented generation models, combining multiple search queries and ranking results using reciprocal rank fusion with LangChain implementation.
LangChain Tutorial: Building an End-to-End LLM Project with Hugging Face Deployment - 1 Hour
Comprehensive tutorial on LangChain, covering basics to advanced concepts with hands-on examples. Includes deployment of a Q&A chatbot using Hugging Face Spaces.
Streaming for LangChain Agents and FastAPI
Learn to implement streaming for LangChain Agents and serve it through FastAPI, covering basics to advanced techniques for efficient LLM integration and deployment.
Deploying Your Own Language Models - A Use Case Demo with Open Source Tools
Explore domain-specific language model adaptation and deployment using open source tools. Learn cost-effective techniques, optimization strategies, and ethical considerations for building powerful AI applications.
End-to-End LLM Project: Langchain with Pinecone Vector Database
Learn to build an end-to-end LLM project using Langchain and Pinecone vector database. Covers data processing, vector creation, database operations, and similarity search implementation.
LangChain Expression Language (LCEL) Explained - Syntax, Usage, and Examples
Explore LangChain Expression Language (LCEL) for efficient AI chain development. Learn syntax, implementation, and advanced features like streaming and async execution.
Building LangChain-Based Database-Backed GenAI Applications with Docker - DockerCon 2023
Learn to develop GenAI applications using LangChain and databases within Docker. Explore new technologies for quick setup and gain insights from industry experts on leveraging large language models in your projects.
AI LangChain Workshop - Showcasing New Nodes at n8n
Explore new AI LangChain nodes at n8n.io with Nikki & Oleg. Learn about AI Chat Agent, Summarisation, and Vector Refinement in this informative workshop highlight.