|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| 1. Bonus.mp4 |
67.63MB |
| 1. Bonus.vtt |
5.04KB |
| 1. Chat-LangChain.txt |
27B |
| 1. ChatModels.mp4 |
82.21MB |
| 1. ChatModels.vtt |
9.28KB |
| 1. Course-Discord-Server-URL.txt |
29B |
| 1. Course Introduction.mp4 |
6.07MB |
| 1. Course Introduction.vtt |
4.16KB |
| 1. Course-Repository.txt |
40B |
| 1. Github-Repository-for-Reflexion-Agent.txt |
74B |
| 1. Have a technical issue WATCH THIS FIRST. I Promise this will help!.mp4 |
48.25MB |
| 1. Have a technical issue WATCH THIS FIRST. I Promise this will help!.vtt |
4.10KB |
| 1. Ice Breaker- What are we building here.mp4 |
34.53MB |
| 1. Ice Breaker- What are we building here.vtt |
1.94KB |
| 1. LangChain Hub - Downloads prompt from the community.mp4 |
18.75MB |
| 1. LangChain Hub - Downloads prompt from the community.vtt |
5.51KB |
| 1. LangChain-Reflection-Agent-Blog.txt |
45B |
| 1. LangChain-Reflexion-Blog.txt |
71B |
| 1. LangChain-Slack-Community.txt |
40B |
| 1. langjobs.dev.txt |
24B |
| 1. Lets-Connect-on-Linkedin-.txt |
39B |
| 1. LLM Applications in Production.mp4 |
60.60MB |
| 1. LLM Applications in Production.vtt |
12.02KB |
| 1. Medium Analyzer- Boilerplate Project Setup.mp4 |
91.42MB |
| 1. Medium Analyzer- Boilerplate Project Setup.vtt |
7.27KB |
| 1. Medium-Blog-Vector-Database-What-is-it-and-why-you-should-know-it-.txt |
182B |
| 1. New-MCP-Course-Coupon-Included.txt |
84B |
| 1. Project-Repository.txt |
75B |
| 1. rag-gist-1-setup.zip |
50.08KB |
| 1. Reflexion-Research-Paper.txt |
32B |
| 1. The GIST of LLMs.mp4 |
23.67MB |
| 1. The GIST of LLMs.vtt |
4.77KB |
| 1. What are Building In this Section- Agentic RAG Architecture.mp4 |
30.22MB |
| 1. What are Building In this Section- Agentic RAG Architecture.vtt |
3.21KB |
| 1. What are we building.mp4 |
4.40MB |
| 1. What are we building.mp4 |
158.55MB |
| 1. What are we building.vtt |
1.75KB |
| 1. What are we building.vtt |
7.47KB |
| 1. What are we building (A slim Version of GPT Code-Interpreter).mp4 |
90.43MB |
| 1. What are we building (A slim Version of GPT Code-Interpreter).vtt |
7.48KB |
| 1. What are we building (RAG).mp4 |
73.36MB |
| 1. What are we building (RAG).vtt |
3.68KB |
| 1. What are we building ReAct AgentExecutor from scratch.mp4 |
32.55MB |
| 1. What are we building ReAct AgentExecutor from scratch.vtt |
2.92KB |
| 1. What is LangChain LangChain Under 6 Minutes.mp4 |
54.73MB |
| 1. What is LangChain LangChain Under 6 Minutes.vtt |
8.72KB |
| 1. What is LangGraph.mp4 |
12.13MB |
| 1. What is LangGraph.vtt |
6.72KB |
| 1. Why MCP (Model Context Protocol).mp4 |
53.12MB |
| 1. Why MCP (Model Context Protocol).vtt |
6.89KB |
| 10. Course-Discord-Server.txt |
27B |
| 10. Course-Repository.txt |
40B |
| 10. Creating the LLM Generation Chain and Node for LangGraph.mp4 |
81.37MB |
| 10. Creating the LLM Generation Chain and Node for LangGraph.vtt |
5.75KB |
| 10. Cursor-Official-Website.txt |
19B |
| 10. FullsStack App- Building our LLM powered by LangChain FullStack Application.mp4 |
77.79MB |
| 10. FullsStack App- Building our LLM powered by LangChain FullStack Application.vtt |
13.00KB |
| 10. Github-Commit.txt |
93B |
| 10. Hands On Bringing Your ReAct Agent to Life Connecting Nodes into a Graph.mp4 |
32.51MB |
| 10. Hands On Bringing Your ReAct Agent to Life Connecting Nodes into a Graph.vtt |
8.82KB |
| 10. index.html |
3.44KB |
| 10. What is Cursor.mp4 |
37.06MB |
| 10. What is Cursor.vtt |
6.31KB |
| 11. Adding Sidebar and LangChain's color theme with Cursor Composer.mp4 |
111.06MB |
| 11. Adding Sidebar and LangChain's color theme with Cursor Composer.vtt |
10.32KB |
| 11. Building and Running the Complete LangGraph Agent.mp4 |
39.10MB |
| 11. Building and Running the Complete LangGraph Agent.vtt |
9.28KB |
| 11. Github-Commit.txt |
93B |
| 11. Github-Commit-Code.txt |
93B |
| 11. Hands On Running Our LangGraph React Agent with Function Calling.mp4 |
86.05MB |
| 11. Hands On Running Our LangGraph React Agent with Function Calling.vtt |
9.10KB |
| 11. LangSmith.txt |
28B |
| 11. Tracing application with LangSmith.mp4 |
101.59MB |
| 11. Tracing application with LangSmith.vtt |
11.08KB |
| 12. Chat-LangChain.txt |
27B |
| 12. Chat-LangChain-Github.txt |
46B |
| 12. Documentation Helper In Production.mp4 |
74.99MB |
| 12. Documentation Helper In Production.vtt |
9.56KB |
| 12. Real World Ice breaker Agents.mp4 |
24.13MB |
| 12. Real World Ice breaker Agents.vtt |
3.10KB |
| 12. Self RAG- Intro.mp4 |
17.43MB |
| 12. Self RAG- Intro.vtt |
1.94KB |
| 12. Self-RAG-Paper.txt |
32B |
| 13. Github-Commit-Code.txt |
93B |
| 13. Self RAG- Implementation.mp4 |
145.06MB |
| 13. Self RAG- Implementation.vtt |
18.56KB |
| 14. Adaptive RAG.mp4 |
138.85MB |
| 14. Adaptive RAG.vtt |
13.32KB |
| 14. Github-Commit-Code.txt |
93B |
| 2. CharacterTextSplitter.txt |
65B |
| 2. Course-Discord-Server.txt |
29B |
| 2. Course-Discord-Server.txt |
27B |
| 2. Course-IceBreaker-Github-Repository.txt |
40B |
| 2. Course Objectives.mp4 |
8.70MB |
| 2. Course Objectives.vtt |
7.75KB |
| 2. Documentation-Helper-Github-Repository.txt |
59B |
| 2. DocumentLoaders-Conceptual-Guide-.txt |
60B |
| 2. Eden-Marco-Linkedin-Gist.txt |
146B |
| 2. edens_tweets.json |
1.97KB |
| 2. Environment Setup.mp4 |
122.73MB |
| 2. Environment Setup.vtt |
9.06KB |
| 2. Environment Setup + ReAct Algorithm overview.mp4 |
40.90MB |
| 2. Environment Setup + ReAct Algorithm overview.vtt |
7.82KB |
| 2. Github-Commit-Code.txt |
93B |
| 2. Goodbye-CVEs-Hello-langchain-experimental.txt |
69B |
| 2. handling-environment-variables-in-python-in-case-you-arent-familiar-with-it-.txt |
50B |
| 2. How LLMs REALLY Use Tools Understanding Tool Calling.mp4 |
53.65MB |
| 2. How LLMs REALLY Use Tools Understanding Tool Calling.vtt |
7.32KB |
| 2. Ice-Breaker-Github-Repository.txt |
40B |
| 2. Improving RAG Quality with the Corrective RAG Flow.mp4 |
16.39MB |
| 2. Improving RAG Quality with the Corrective RAG Flow.vtt |
1.72KB |
| 2. Integrating Linkedin Data Processing - Part 1.mp4 |
278.71MB |
| 2. Integrating Linkedin Data Processing - Part 1.vtt |
26.44KB |
| 2. langchain-docs.zip |
2.98MB |
| 2. LangChain-Python-Documentation.txt |
47B |
| 2. LangChain-TextEmbeddings.txt |
52B |
| 2. LLM Application Development landscape.mp4 |
21.05MB |
| 2. LLM Application Development landscape.vtt |
5.01KB |
| 2. Medium Analyzer- Class Review TextLoader,TextSplitter,OpenAIEmbeddings,Pinecone.mp4 |
124.98MB |
| 2. Medium Analyzer- Class Review TextLoader,TextSplitter,OpenAIEmbeddings,Pinecone.vtt |
12.24KB |
| 2. Messages.mp4 |
19.09MB |
| 2. Messages.vtt |
4.48KB |
| 2. Pinecone-Official-Website.txt |
24B |
| 2. PineconeVectorStore.txt |
69B |
| 2. pipenv-crash-course-In-case-you-are-not-familiar-with-pipenv-.txt |
48B |
| 2. Poetry-Official-Documentation.txt |
26B |
| 2. Project Setup.mp4 |
21.48MB |
| 2. Project Setup.mp4 |
17.83MB |
| 2. Project Setup.mp4 |
21.43MB |
| 2. Project Setup.vtt |
4.63KB |
| 2. Project Setup.vtt |
5.31KB |
| 2. Project Setup.vtt |
3.64KB |
| 2. Project Setup (Pycharm) recommend).mp4 |
104.86MB |
| 2. Project Setup (Pycharm) recommend).vtt |
11.83KB |
| 2. python-dotenv-Official-Documentation.txt |
39B |
| 2. qrcode-Python-Documentation.txt |
32B |
| 2. rag-gist-2-imports.zip |
50.20KB |
| 2. react-langchain-final-0.zip |
40.92KB |
| 2. Scrapin.io-Register-URL.txt |
36B |
| 2. Text-Splitter-Playground-URL.txt |
46B |
| 2. Text-Splitters-Conceptual-Guide-.txt |
56B |
| 2. TextSplitting Playground.mp4 |
37.22MB |
| 2. TextSplitting Playground.vtt |
5.42KB |
| 2. Tweepy-Client-Documentation.txt |
45B |
| 2. Tweet API- tweepy.errors.Forbidden 403 Forbidden.mp4 |
29.34MB |
| 2. Tweet API- tweepy.errors.Forbidden 403 Forbidden.vtt |
8.43KB |
| 2. twitter_with_stubs.py |
2.63KB |
| 2. twitter.py |
1.17KB |
| 2. What is a Prompt Composition of a formal prompt.mp4 |
9.10MB |
| 2. What is a Prompt Composition of a formal prompt.vtt |
3.69KB |
| 2. Why LangGraph LangGraph VS LangChain.mp4 |
57.72MB |
| 2. Why LangGraph LangGraph VS LangChain.vtt |
22.30KB |
| 3. Boilerplate Setup for an Agentic RAG Agent with LangGraph.mp4 |
42.40MB |
| 3. Boilerplate Setup for an Agentic RAG Agent with LangGraph.vtt |
5.11KB |
| 3. Chain-Of-Thought-Research-paper.txt |
38B |
| 3. code-interpreter-1-python-agent.zip |
44.71KB |
| 3. Course-Discord-Server.txt |
29B |
| 3. Course-Repository.txt |
40B |
| 3. Course Structure + How to get the best of Udemy PLEASE DO NOT SKIP.mp4 |
49.12MB |
| 3. Course Structure + How to get the best of Udemy PLEASE DO NOT SKIP.vtt |
4.55KB |
| 3. Creating the Reflector Chain and the Tweet Reviosr Chain.mp4 |
23.62MB |
| 3. Creating the Reflector Chain and the Tweet Reviosr Chain.vtt |
5.96KB |
| 3. Defining Tools for our ReAct agent.mp4 |
81.36MB |
| 3. Defining Tools for our ReAct agent.vtt |
18.14KB |
| 3. download_docs.py |
1.01KB |
| 3. Github-Commit-Code.txt |
93B |
| 3. handling-environment-variables-with-python-in-case-you-are-not-familiar-with-it-.txt |
50B |
| 3. How-to-recursively-split-text-by-characters.txt |
65B |
| 3. LangChain-Agents-Documentation.txt |
51B |
| 3. LangChain-API-Documentation-V0.1.txt |
69B |
| 3. LangChain-custom-tools-official-documentation.txt |
54B |
| 3. LangChain-Pinecone-Official-Documentation.txt |
68B |
| 3. LangChain-Python-Agent-Documentation.txt |
63B |
| 3. LangChain-Python-Documentation.txt |
47B |
| 3. LangChain-Text-Splitting-Playground.txt |
46B |
| 3. LangChain VS LlamaIndex.mp4 |
50.17MB |
| 3. LangChain VS LlamaIndex.vtt |
4.15KB |
| 3. Linkedin Data Processing - Part 2 - Agents Theory.mp4 |
13.85MB |
| 3. Linkedin Data Processing - Part 2 - Agents Theory.vtt |
6.10KB |
| 3. LLM.txt.mp4 |
53.91MB |
| 3. LLM.txt.vtt |
7.62KB |
| 3. llms.txt-By-LangChain.txt |
59B |
| 3. LLMs in Production Privacy & Data Retention.mp4 |
96.53MB |
| 3. LLMs in Production Privacy & Data Retention.vtt |
10.19KB |
| 3. Medium Analyzer- Ingestion Implementation.mp4 |
65.84MB |
| 3. Medium Analyzer- Ingestion Implementation.vtt |
14.89KB |
| 3. N-Shot-Prompting-Tokyo-University-Research-Paper.txt |
36B |
| 3. OpenAI-Official-Data-Usage-Policies.txt |
60B |
| 3. OpenAI-Official-Privacy-Policy.txt |
47B |
| 3. OPTIONAL Manually Scraping the LangChain Documentation.mp4 |
36.41MB |
| 3. OPTIONAL Manually Scraping the LangChain Documentation.vtt |
3.79KB |
| 3. Pinecone AttributeError init is no longer a top-level attribute of pinecone.mp4 |
11.54MB |
| 3. Pinecone AttributeError init is no longer a top-level attribute of pinecone.vtt |
1.82KB |
| 3. pipenv-crash-course-In-case-you-are-not-familiar-with-pipenv-.txt |
48B |
| 3. Project Setup (vscode) - optional.mp4 |
140.16MB |
| 3. Project Setup (vscode) - optional.vtt |
14.60KB |
| 3. Python Agent.mp4 |
32.36MB |
| 3. Python Agent.vtt |
10.00KB |
| 3. rag-gist-3-ingestion-implementation.zip |
51.07KB |
| 3. react-langchain-1.zip |
41.47KB |
| 3. ReAct-SYNERGIZING-REASONING-AND-ACTING-IN-LANGUAGE-MODELS-Paper.txt |
36B |
| 3. RecursiveCharacterTextSplitter.mp4 |
13.15MB |
| 3. RecursiveCharacterTextSplitter.vtt |
2.05KB |
| 3. Section Resources.html |
2.78KB |
| 3. Text-Splitting-by-structured-based.txt |
80B |
| 3. troubleshooting.txt |
398B |
| 3. What are Graphs.mp4 |
20.08MB |
| 3. What are Graphs.vtt |
4.69KB |
| 3. Zero Shot Prompting.mp4 |
18.98MB |
| 3. Zero Shot Prompting.vtt |
3.54KB |
| 4. .env.example-file.txt |
63B |
| 4. Actor Agent.mp4 |
155.82MB |
| 4. Actor Agent.vtt |
19.49KB |
| 4. CoAgents-By-Ariel-Weinberger.txt |
48B |
| 4. CoAgents-Documentation-by-CopilotKit.txt |
35B |
| 4. code-interpreter-2-csv-agent.zip |
51.68KB |
| 4. Code Structure.mp4 |
38.71MB |
| 4. Code Structure.vtt |
8.35KB |
| 4. CopilotKit-Official-Website.txt |
26B |
| 4. Course's Community.mp4 |
26.72MB |
| 4. Course's Community.vtt |
3.35KB |
| 4. Course-Discord-Server-Link2.txt |
29B |
| 4. Course-Repository.txt |
40B |
| 4. CSV Agent.mp4 |
89.84MB |
| 4. CSV Agent.vtt |
11.49KB |
| 4. Debugging LangChain Resolving LLM stop Token & Template Indentation Issues.mp4 |
16.70MB |
| 4. Debugging LangChain Resolving LLM stop Token & Template Indentation Issues.vtt |
2.68KB |
| 4. Defining our LangGraph Graph.mp4 |
164.72MB |
| 4. Defining our LangGraph Graph.vtt |
12.56KB |
| 4. Document.mp4 |
9.48MB |
| 4. Document.vtt |
1.48KB |
| 4. Environment Variables and .env File.mp4 |
15.14MB |
| 4. Environment Variables and .env File.vtt |
3.87KB |
| 4. episode_info.csv |
14.12KB |
| 4. Few Shot Prompting.mp4 |
66.33MB |
| 4. Few Shot Prompting.vtt |
9.95KB |
| 4. Generative UIUX featuring CopilotKit.mp4 |
98.80MB |
| 4. Generative UIUX featuring CopilotKit.vtt |
5.78KB |
| 4. Github-Commit-Code.txt |
93B |
| 4. -Github-Final-Code-for-this-video.txt |
84B |
| 4. LangChain-AgentExecutor-Documentation.txt |
64B |
| 4. LangChain-CSV-Agent-Documentation.txt |
49B |
| 4. LangChain-Document-API-Reference.txt |
101B |
| 4. LangChain-Document-Loaders.txt |
64B |
| 4. LangChain-Tools-Documentation.txt |
49B |
| 4. LangChain Version In Course (V0.3.3).mp4 |
74.39MB |
| 4. LangChain Version In Course (V0.3.3).vtt |
5.33KB |
| 4. LangGraph & Flow Engineering.mp4 |
18.73MB |
| 4. LangGraph & Flow Engineering.vtt |
8.00KB |
| 4. LangGraph-Official-Documentation.txt |
41B |
| 4. Linkedin Data Processing- Part 3 Tools, Agent Executor, create_react_agent.mp4 |
34.75MB |
| 4. Linkedin Data Processing- Part 3 Tools, Agent Executor, create_react_agent.vtt |
8.23KB |
| 4. MCP Inspector.mp4 |
32.31MB |
| 4. MCP Inspector.vtt |
4.03KB |
| 4. MCP-Inspector-Official-Documentation.txt |
52B |
| 4. MCP-Inspector-open-source-Repository.txt |
49B |
| 4. Medium Analyzer- Retrieval Implementation Implementation with chains.mp4 |
87.63MB |
| 4. Medium Analyzer- Retrieval Implementation Implementation with chains.vtt |
19.59KB |
| 4. New-LangGraph-Course-Coupon.txt |
71B |
| 4. N-Shot-Prompting-Tokyo-University-Research-Paper.txt |
36B |
| 4. Pinecone Vectorstore Ingestion.mp4 |
121.50MB |
| 4. Pinecone Vectorstore Ingestion.vtt |
13.60KB |
| 4. rag-gist-4-retrieval-implementation-chains.zip |
51.35KB |
| 4. Stop-Arguments-In-ChatModels.txt |
32B |
| 5. Chain of Thought Prompting.mp4 |
91.86MB |
| 5. Chain of Thought Prompting.vtt |
9.75KB |
| 5. Chain-Of-Thought-Research-paper.txt |
38B |
| 5. code-interpreter-3-router-agent.zip |
52.18KB |
| 5. code-interpreter-3-router-agent-start-here.zip |
51.83KB |
| 5. Course-Discord-Server.txt |
29B |
| 5. Course-Repository.txt |
40B |
| 5. Course Resources.html |
1.05KB |
| 5. Finished course Whats next!.mp4 |
161.34MB |
| 5. Finished course Whats next!.vtt |
8.75KB |
| 5. Github-Commit-Code.txt |
93B |
| 5. -Github-Final-Code.txt |
76B |
| 5. ice_breaker.py |
3.08KB |
| 5. LangChain-LLM-Chain-Quickstart.txt |
54B |
| 5. LangChain-mcpdoc-MCP-Server-Github-Repo.txt |
38B |
| 5. LangChain-Python-Documentation.txt |
47B |
| 5. LangChain-ReAct-Agent.txt |
56B |
| 5. LangChain-Router-Chain.txt |
49B |
| 5. LangChain Token Limitation Handeling Strategies.mp4 |
168.78MB |
| 5. LangChain Token Limitation Handeling Strategies.vtt |
15.22KB |
| 5. LangChain Vector Store Ingestion Pipeline (WebLoader, ChromaDB).mp4 |
77.18MB |
| 5. LangChain Vector Store Ingestion Pipeline (WebLoader, ChromaDB).vtt |
7.82KB |
| 5. LangGraph Core Components.mp4 |
46.78MB |
| 5. LangGraph Core Components.vtt |
7.05KB |
| 5. LangSmith-Hub.txt |
31B |
| 5. LangSmith-Platform.txt |
28B |
| 5. LangSmith Tracing.mp4 |
32.75MB |
| 5. LangSmith Tracing.vtt |
3.53KB |
| 5. Linkedin Data Processing- Part 4 Custom Search Agent Implementation.mp4 |
119.94MB |
| 5. Linkedin Data Processing- Part 4 Custom Search Agent Implementation.vtt |
26.60KB |
| 5. mcpdoc.mp4 |
103.83MB |
| 5. mcpdoc.vtt |
15.25KB |
| 5. Medium Analyzer- Retrieval Implementation Implementation with LCEL.mp4 |
26.14MB |
| 5. Medium Analyzer- Retrieval Implementation Implementation with LCEL.vtt |
5.78KB |
| 5. My-LangSmith-Trace.txt |
73B |
| 5. OpenAI-Functions-Official-Documentation.txt |
62B |
| 5. react-langchain-2.zip |
48.62KB |
| 5. ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.mp4 |
140.54MB |
| 5. ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.vtt |
18.50KB |
| 5. Retrieval + Augmentation + Generation = RAG.mp4 |
127.30MB |
| 5. Retrieval + Augmentation + Generation = RAG.vtt |
12.83KB |
| 5. Revisor Agent.mp4 |
31.93MB |
| 5. Revisor Agent.vtt |
5.15KB |
| 5. Tavily-Search-API.txt |
19B |
| 5. Wrapping Everything Router Agent.mp4 |
48.85MB |
| 5. Wrapping Everything Router Agent.vtt |
10.73KB |
| 5. Your First LangChain application - Chaining a simple prompt.mp4 |
106.84MB |
| 5. Your First LangChain application - Chaining a simple prompt.vtt |
17.66KB |
| 6. AgentAction, AgentFinish, ReAct Loop.mp4 |
54.18MB |
| 6. AgentAction, AgentFinish, ReAct Loop.vtt |
11.45KB |
| 6. Bridging the Gap The LangChain MCP Adapter Explained.mp4 |
53.72MB |
| 6. Bridging the Gap The LangChain MCP Adapter Explained.vtt |
5.33KB |
| 6. Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).mp4 |
194.41MB |
| 6. Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).vtt |
25.68KB |
| 6. Chat With Your PDF- FAISS Local Vectorstore.mp4 |
68.43MB |
| 6. Chat With Your PDF- FAISS Local Vectorstore.vtt |
17.68KB |
| 6. Coreference-Wikipedia.txt |
41B |
| 6. FAISS-Documentation.txt |
17B |
| 6. Function Tool Calling in LangChain.mp4 |
90.16MB |
| 6. Function Tool Calling in LangChain.vtt |
8.81KB |
| 6. Github-Commit-Code.txt |
93B |
| 6. --------- Hands On Implementing ReAct AgentExecutor with LangGraph ---------.mp4 |
18.03MB |
| 6. --------- Hands On Implementing ReAct AgentExecutor with LangGraph ---------.vtt |
2.98KB |
| 6. LangChain-FAISS.txt |
66B |
| 6. LangChain-MCP-Adapters-Github-Repository.txt |
54B |
| 6. LangChain Memory Intro- Co Reference Resolution.mp4 |
25.29MB |
| 6. LangChain Memory Intro- Co Reference Resolution.vtt |
4.12KB |
| 6. LangChain-Ollama-Official-Documentation.txt |
59B |
| 6. LangChain-PDFLoader.txt |
61B |
| 6. LangGraph-ReAct-Course-Repository.txt |
87B |
| 6. LangGraph-ToolNode-API-Reference.txt |
96B |
| 6. Linkedin Data Processing- Part 5 Custom Search Agent Testing.mp4 |
36.50MB |
| 6. Linkedin Data Processing- Part 5 Custom Search Agent Testing.vtt |
6.61KB |
| 6. Llama3-Official-Website.txt |
30B |
| 6. main.py |
1.48KB |
| 6. main.py |
1.20KB |
| 6. Managing Information Flow in LangGraph The GraphState.mp4 |
9.10MB |
| 6. Managing Information Flow in LangGraph The GraphState.vtt |
2.89KB |
| 6. Mistral-AI-Official-Website.txt |
19B |
| 6. Official LangChain Academy Courses.mp4 |
24.46MB |
| 6. Official LangChain Academy Courses.vtt |
3.25KB |
| 6. Ollama-Official-Website.txt |
19B |
| 6. react-langchain-3.zip |
48.69KB |
| 6. ReAct Prompting.mp4 |
87.36MB |
| 6. ReAct Prompting.vtt |
8.38KB |
| 6. REAC-T-SYNERGIZING-REASONING-AND-ACTING-IN-LANGUAGE-MODELS-Paper.txt |
36B |
| 6. Streamlit-Chat-Component-Github-Repository.txt |
34B |
| 6. Streamlit-Documentation.txt |
26B |
| 6. Streamlit-Github-Repository.txt |
38B |
| 6. Streamlit-Session-State-Documentation.txt |
61B |
| 6. Tool-Calls-In-LangGraph-Official-Documentation.txt |
62B |
| 6. ToolNode - Executing Tools.mp4 |
78.00MB |
| 6. ToolNode - Executing Tools.vtt |
9.10KB |
| 6. Using Open Source Models With LangChain (Ollama, Llama3, Mistral).mp4 |
100.08MB |
| 6. Using Open Source Models With LangChain (Ollama, Llama3, Mistral).vtt |
11.21KB |
| 7.1 LangChain Model Switching Groq API Integration.html |
25.39KB |
| 7. Building an AI LangChain Chat Assistant- Memory.mp4 |
118.22MB |
| 7. Building an AI LangChain Chat Assistant- Memory.vtt |
10.11KB |
| 7. Building our LangGraph Graph.mp4 |
72.17MB |
| 7. Building our LangGraph Graph.vtt |
8.58KB |
| 7. CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.mp4 |
90.47MB |
| 7. CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.vtt |
11.53KB |
| 7. Eden-Marco-Tweets-Github-GIST.txt |
66B |
| 7. Fetching Context for LLMs The LangGraph Retrieve Node.mp4 |
19.81MB |
| 7. Fetching Context for LLMs The LangGraph Retrieve Node.vtt |
2.60KB |
| 7. Function Calling Vs ReAct.mp4 |
77.72MB |
| 7. Function Calling Vs ReAct.vtt |
6.37KB |
| 7. Github-Commit.txt |
93B |
| 7. Github-Commit-Code.txt |
93B |
| 7. Github-Course-Repository.txt |
40B |
| 7. Hands On Get Started Setting Up Your ReAct Agent Project Environment.mp4 |
28.83MB |
| 7. Hands On Get Started Setting Up Your ReAct Agent Project Environment.vtt |
6.04KB |
| 7. LangChain-Memory-Official.txt |
57B |
| 7. LangChain Memory Theory Deepdive (LangGraph).mp4 |
53.03MB |
| 7. LangChain Memory Theory Deepdive (LangGraph).vtt |
10.98KB |
| 7. My-LangSmith-Trace.txt |
73B |
| 7. Open Source LLMs VS Managed LLM Providers (Deepseek).mp4 |
96.21MB |
| 7. Open Source LLMs VS Managed LLM Providers (Deepseek).vtt |
12.21KB |
| 7. Optional Twitter Data Processing- Part 1- Scraping.mp4 |
83.10MB |
| 7. Optional Twitter Data Processing- Part 1- Scraping.vtt |
12.80KB |
| 7. Prompt Engineering Quick Tips.mp4 |
89.45MB |
| 7. Prompt Engineering Quick Tips.vtt |
12.11KB |
| 7. Python-Tweepy-Package.txt |
34B |
| 7. react-langchain-final.zip |
49.07KB |
| 7. Tweet-Scraping-Source-Code-Implementation-Repository-.txt |
83B |
| 7. Twitter-Scraping-Troubleshooting-Video.txt |
70B |
| 7. Twitter-Troubleshooting-Discord-Thread.txt |
88B |
| 7. What are we MCBuilding.mp4 |
8.94MB |
| 7. What are we MCBuilding.vtt |
1.90KB |
| 8. Building a Relevance Filter for RAG using LangChain's Structured Output.mp4 |
132.37MB |
| 8. Building a Relevance Filter for RAG using LangChain's Structured Output.vtt |
15.34KB |
| 8. CAIR-Blog-Confidence-in-AI-Results-By-Assaf-Elovic-Harrison-Chase.txt |
80B |
| 8. Confidence in AI Results By Assaf Elovic & Harrison Chase.mp4 |
33.16MB |
| 8. FireCrawl.dev.txt |
26B |
| 8. FireCrawl-LangChain-Integration.txt |
74B |
| 8. FireCrawl-Official-Documentation.txt |
39B |
| 8. Github-Commit.txt |
93B |
| 8. Github-Course-Repository.txt |
40B |
| 8. Hands On Coding the Agent's Brain Implementing the ReAct Runnable.mp4 |
61.45MB |
| 8. Hands On Coding the Agent's Brain Implementing the ReAct Runnable.vtt |
9.77KB |
| 8. LangChain Version In Course (V0.3.3) - (No breaking changes in 0.3.3).mp4 |
15.78MB |
| 8. LangChain Version In Course (V0.3.3) - (No breaking changes in 0.3.3).vtt |
1.84KB |
| 8. My-Github-Commit.txt |
93B |
| 8. Optional RAG Pipeline Optimization featuring FireCrawl.mp4 |
190.70MB |
| 8. Optional RAG Pipeline Optimization featuring FireCrawl.vtt |
13.59KB |
| 8. Optional Twitter Data Processing- Part 2- Agents.mp4 |
93.92MB |
| 8. Optional Twitter Data Processing- Part 2- Agents.vtt |
8.92KB |
| 8. Recap with LangSmith.mp4 |
18.93MB |
| 8. Recap with LangSmith.vtt |
2.87KB |
| 8. Simple SSE MCP Server.mp4 |
53.49MB |
| 8. Simple SSE MCP Server.vtt |
3.20KB |
| 8. Tweepy-official-documentation.txt |
31B |
| 9.2 From ReAct Prompting to Modern Tool Calling.html |
28.72KB |
| 9. Course-LLM-Compatibility-Per-Project.txt |
110B |
| 9. Cursor-Official-Website.txt |
19B |
| 9. Github-Commit.txt |
93B |
| 9. Hands On 43. Building Blocks Defining Your Agent's Nodes in LangGraph.mp4 |
30.81MB |
| 9. Hands On 43. Building Blocks Defining Your Agent's Nodes in LangGraph.vtt |
7.19KB |
| 9. Implementing a Web Search Node in LangGraph using Tavily API.mp4 |
29.32MB |
| 9. Implementing a Web Search Node in LangGraph using Tavily API.vtt |
5.67KB |
| 9. LangChain's MultiServerMCPClient from the LangChain MCP Adapter.mp4 |
54.12MB |
| 9. LangChain's MultiServerMCPClient from the LangChain MCP Adapter.vtt |
11.84KB |
| 9. LangChain-Output-Parsers-Official-Documentation.txt |
58B |
| 9. LangChain-Structured-Output-PydanticOutputParser-.txt |
66B |
| 9. Leveraging Cursor IDE for UI Improvements.mp4 |
18.06MB |
| 9. Leveraging Cursor IDE for UI Improvements.vtt |
1.46KB |
| 9. My-Github-Commit.txt |
62B |
| 9. Output Parsers- Getting Ready to work with a Frontend.mp4 |
123.03MB |
| 9. Output Parsers- Getting Ready to work with a Frontend.vtt |
13.99KB |
| 9. Which LLM to Use (OpenAI, Gemini, Anthropic, Mistral, Llama).mp4 |
18.75MB |
| 9. Which LLM to Use (OpenAI, Gemini, Anthropic, Mistral, Llama).vtt |
1.29KB |
| meta_selected.json |
116.95KB |
| meta.json |
818.48KB |
| raw.mpd |
51.27KB |