Level Up LLM App Development with LangChain and OpenAI

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 - What you should know - github.txt (0.1 KB)
• 1 - What you should know.mp4 (15.2 MB)
10 - Deploy Chains as a RESTful API with LangServe
• 1 - Introducing LangServe Installation and setup.mp4 (31.4 MB)
• 2 - Create a server.mp4 (6.5 MB)
• 3 - Create the routes and the endpoints.mp4 (50.8 MB)
• 4 - Create a runnable to combine a prompt, a model, and output.mp4 (37.4 MB)
• 5 - Challenge Deploy a RESTful API.mp4 (17.2 MB)
• 6 - Solution Deploy a RESTful API.mp4 (29.1 MB)
11 - Finish Line Deploy to the Cloud and Share with the World
• 1 - Manage and deploy an app on Render.mp4 (15.3 MB)
• 2 - Create a GitHub repository and push your project.mp4 (40.0 MB)
• 3 - Deploy a new web service on Render.mp4 (38.6 MB)
2 - LangChain Basics Intro to Building LLM-Powered Apps
• 1 - Setup and installation.mp4 (33.6 MB)
• 2 - Create a chain and interface with an LLM.mp4 (36.5 MB)
• 3 - Define and structure a prompt.mp4 (41.3 MB)
• 4 - Create and invoke a chain (LCEL syntax).mp4 (22.5 MB)
• 5 - Work with output parsers.mp4 (18.2 MB)
3 - Adding Similarity Search and Context
• 1 - Quickstart Installation and setup.mp4 (24.5 MB)
• 2 - Create embeddings from text.mp4 (10.9 MB)
• 3 - Querying the vector store.mp4 (11.2 MB)
• 4 - Querying as a retriever.mp4 (33.4 MB)
4 - Leveraging LLMs with LangChain and RAG
• 1 - RAG Overview and architecture.mp4 (22.0 MB)
• 10 - Solution Add a chain with chat history.mp4 (43.1 MB)
• 11 - Solution Context- and history-aware chatbot.mp4 (53.2 MB)
• 2 - Breaking down the RAG pipeline.mp4 (12.2 MB)
• 3 - Project setup.mp4 (31.4 MB)
• 4 - Load and split documents into chunks.mp4 (45.1 MB)
• 5 - Initialize a vector store (Chroma) and ingest documents.mp4 (49.3 MB)
• 6 - Create the chain Prompt + model + parser.mp4 (41.8 MB)
• 7 - Create the chain Add context with a retriever.mp4 (39.6 MB)
• 8 - Pass data with RunnablePassthrough and query data.mp4 (32.1 MB)
• 9 - Challenge Create a custom agent with history.mp4 (39.2 MB)
5 - Create an Interactive Web App (Streamlit)
• 1 - Set up the Streamlit application.mp4 (39.0 MB)
• 2 - Build the layout with Streamlit components.mp4 (39.5 MB)
• 3 - Adding functionality with Streamlit.mp4 (29.9 MB)
• 4 - Challenge Deploy your Streamlit app.mp4 (31.4 MB)
• 5 - Solution Add app to GitHub.mp4 (36.7 MB)
• 6 - Solution Deploy your app.mp4 (47.5 MB)
6 - Build a Q&A Agent with Multiple Data Sources and Query Analysis
• 1 - Retrieval with query analysis.mp4 (8.2 MB)
• 2 - Connect to a data source and create an index.mp4 (35.8 MB)
• 3 - Set up query analysis to handle multiple data sources.mp4 (51.1 MB)
• 4 - Retrieval with query analysis.mp4 (39.6 MB)
• 5 - Challenge Retrieval with multiple data sources.mp4 (35.4 MB)
• 6 - Solution Q&A with multiple data sources.mp4 (70.0 MB)
7 - Perform Semantic Search Using MongoDB Atlas Vector Search and OpenAI
• 1 - Getting started with MongoDB Create an account.mp4 (14.7 MB)
• 2 - Build and deploy a free cluster.mp4 (13.7 MB)
• 3 - Set up the MongoDB environment and connect to the cluster.mp4 (56.4 MB)
• 4 - Create a secured database access.mp4 (29.2 MB)
• 5 - Load sample data and create the vector store.mp4 (44.5 MB)
• 6 - Create the Atlas Vector Search index.mp4 (37.0 MB)
• 7 - Run vector search queries.mp4 (59.3 MB)
8 - Interact with a NoSQL Database (MongoDB)
• 1 - Create a retrieval chain Define the prompt.mp4 (26.3 MB)
• 2 - Create a retrieval chain Define the context.mp4 (53.5 MB)
• 3 - Create a retrieval chain Parse and format results.mp4 (18.2 MB)
• 4 - Query documents and generate extended responses.mp4 (34.0 MB)
9 - LLM Fine-Tuning with the OpenAI Tools and Functions
• 1 - Using agents to perform actions in chains.mp4 (15.8 MB)
• 2 - Define tools.mp4 (42.3 MB)
• 3 - Select the perfect prompt.mp4 (7.7 MB)
• 4 - Bind tools and create agent.mp4 (18.4 MB)
• 5 - Create and run the agent executor.mp4 (41.7 MB)
• 6 - Challenge Create a multitask agent.mp4 (45.5 MB)
• 7 - Solution Define tools and functions.mp4 (53.9 MB)
• Bonus Resources.txt (0.1 KB)