23:06
Auto-Prompt Builder (with Hosted LangServe)
LangChain
2:09:56
Build a Full Stack RAG App With TypeScript
30:40
SQL Research Assistant
33:11
Skeleton-of-Thought: Building a New Template from Scratch
43:40
Building a Research Assistant from Scratch
24:04
Build and Deploy a RAG app with Pinecone Serverless
32:31
Building a web RAG chatbot: using LangChain, Exa (prev. Metaphor), LangSmith, and Hosted Langserve
12:29
Open Source RAG with Nomic's New Embedding Model (and ChromaDB and Ollama)
12:56
Gemini + Google Retrieval Agent from a LangChain Template
24:08
LangChain Agents with Open Source Models!
26:00
Building Corrective RAG from scratch with open-source, local LLMs
24:26
Building a self-corrective coding assistant from scratch
8:22
Universal Document Loader with langchain-airbyte
21:30
Building long context RAG with RAPTOR from scratch
1:30:12
Building Google's Dramatron with LangGraph JS & Anthropic's Claude 3
30:15
Cutting LLM Costs with MongoDB Semantic Caching
49:48
Deploying code agents without all the agonizing pain
27:54
Building adaptive RAG from scratch with Command-R
LIVE
[Private video]
9:04
Anthropic function calling for structured LLM outputs
7:54
Video + Audio Extraction with Gemini
21:19
Reliable, fully local RAG agents with LLaMA3
26:21
Building an Agent to Query a SQL Database and Analyze Data
16:05
Self-correcting code assistants with Codestral
17:40
Building open source LLM agents with Llama 3
9:13
Local Tool Calling with llamacpp
9:50
Llama 3 tool calling agents with Firefunction-v2
22:17
Building and Testing Reliable Agents
5:24
LangGraph Agents - Human-In-The-Loop Breakpoints
5:57
LangGraph Agents - Human-In-The-Loop - User Feedback
4:29
LangGraph Agents - Human-in-the-Loop: Editing Graph State
12:41
Fully local tool calling with Ollama
8:42
LangGraph Agents - Controllability - Sub-graphs
9:05
LangGraph - Controllability with Map Reduce
20:04
Fully local RAG agents with Llama 3.1
14:26
Text to SQL Agent for Data Visualization
21:48
LangGraph Data Enrichment Agent Template
12:55
LangGraph Assistants
31:04
Reliable, fully local RAG agents with LLaMA3.2-3b
10:09
Talking to a LangChain ReAct Voice Agent
9:35
Long-Term Memory Agent Template
24:07
Memory in the background
5:38
Using remote graphs in a multi-agent setup
10:30
Unlocking Voice Interaction with LangGraph Agents
34:45
Report mAIstro: Multi-agent research and report writing
15:25
Building a fully local research assistant from scratch with Ollama
18:02
Building an AI persona for any X/Twitter user from scratch
18:36
Building an LLM-powered Voice -To-Content assistant
10:48
Building a company research agent from scratch
9:49
Building a research agent for professional profiles
21:31
Structured Report Generation Blueprint with NVIDIA AI (Llama 3.3)
13:26
Adding Chat-LangChain To Slack
5:40
Scheduled Tasks in LangGraph
15:16
Understanding and Effectively Using AI Reasoning Models
14:21
Building a fully local "deep researcher" with DeepSeek-R1
31:50
Building Effective Agents with LangGraph
7:24
Building a research assistant with o3-mini
11:55
Hierarchical multi-agent systems with LangGraph
6:00
Using MCP with LangGraph agents
13:21
Open Deep Research
6:36
Building an agent with Claude 3.7, Anthropic's new reasoning model
7:38
Hierarchical multi-agent systems with LangGraph JS
10:05
Multi-agent swarms with LangGraph
6:40
Vibe testing OpenAI GPT 4.5
6:09
Fully local deep research assistant with Gemma3
13:14
Fully local multi-agent systems with LangGraph
12:22
Understanding MCP From Scratch
10:50
"Vibe Coding" LangGraph apps with llms.txt and MCP
LangGraph Studio: An IDE for visualizing and debugging agents
7:05
Strategies for debugging agents with LangGraph Studio
10:01
BigTool: Agents with large number of tools
9:22
Generating reliable structured outputs with Trustcall
6:12
Building a multi-agent researcher with llms.txt
11:29
Understanding multi-agent handoffs
14:04
Building a multi-modal researcher with Gemini 2.5
22:06
Context Engineering for Agents
23:20
How to apply context engineering
9:19
Testing Driving GPT 5
