Torrent details for "Level Up LLM App Development with LangChain and OpenAI" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
2.0 GB
Info Hash:
62AE6C545DFF7884EE3AAE64F81FDF731117680A
Added By:
Added:
March 1, 2026, 8:41 a.m.
Stats:
|
(Last updated: March 1, 2026, 8:43 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 1 - What you should know - github.txt | 107 bytes |
| 1 - What you should know.mp4 | 15.2 MB |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: Level Up LLM App Development with LangChain and OpenAI
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
None
×