Uploaded September 2025 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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In this comprehensive LangChain v1 tutorial, you'll learn to create a semantic search engine using vector databases - the foundation for powerful RAG (Retrieval-Augmented Generation) applications. Perfect for developers wanting to build AI systems that can intelligently search through documents!
Langchain v1 Projects Complete Playlist
youtube.com/playlist?list=PLc2rvfiptPSQzrdPe5apNAq1bbBROUXKh
🎯 What You'll Learn:
✅ Document loading with PyPDFLoader
✅ Text chunking strategies with RecursiveCharacterTextSplitter
✅ Creating embeddings with Ollama (local models)
✅ Vector storage with Chroma database
✅ Multiple retrieval methods (similarity, MMR, score threshold)
✅ Metadata filtering and search optimization
✅ Building the complete RAG pipeline
✅ Performance tuning and best practices
💡 Key Technologies Covered:
LangChain v1 - Latest framework features
PyPDFLoader - Document processing
Ollama - Local embedding models
Chroma - Vector database storage
Vector embeddings - Semantic representation
RAG architecture - Retrieval-augmented generation
🔧 Tools & Libraries:
LangChain v1 (latest version)
PyPDFLoader for document loading
RecursiveCharacterTextSplitter
OllamaEmbeddings (nomic-embed-text)
Chroma vector database
Python 3.8+
🔗 Important Resources:
LangChain v1 Documentation: python.langchain.com
Ollama Models: ollama.ai
Chroma Vector DB: trychroma.com
Code Repository: github.com/laxmimerit/Langchain-v1-Projects
Don't forget to LIKE, SUBSCRIBE, and hit the BELL icon for more LangChain v1 project tutorials!
#LangChain #RAG #SemanticSearch #VectorDatabase #AI #MachineLearning #Python
📚 Learn More with My Udemy Courses
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
In this comprehensive LangChain v1 tutorial, you'll learn to create a semantic search engine using vector databases - the foundation for powerful RAG (Retrieval-Augmented Generation) applications. Perfect for developers wanting to build AI systems that can intelligently search through documents!
Langchain v1 Projects Complete Playlist
youtube.com/playlist?list=PLc2rvfiptPSQzrdPe5apNAq1bbBROUXKh
🎯 What You'll Learn:
✅ Document loading with PyPDFLoader
✅ Text chunking strategies with RecursiveCharacterTextSplitter
✅ Creating embeddings with Ollama (local models)
✅ Vector storage with Chroma database
✅ Multiple retrieval methods (similarity, MMR, score threshold)
✅ Metadata filtering and search optimization
✅ Building the complete RAG pipeline
✅ Performance tuning and best practices
💡 Key Technologies Covered:
LangChain v1 - Latest framework features
PyPDFLoader - Document processing
Ollama - Local embedding models
Chroma - Vector database storage
Vector embeddings - Semantic representation
RAG architecture - Retrieval-augmented generation
🔧 Tools & Libraries:
LangChain v1 (latest version)
PyPDFLoader for document loading
RecursiveCharacterTextSplitter
OllamaEmbeddings (nomic-embed-text)
Chroma vector database
Python 3.8+
🔗 Important Resources:
LangChain v1 Documentation: python.langchain.com
Ollama Models: ollama.ai
Chroma Vector DB: trychroma.com
Code Repository: github.com/laxmimerit/Langchain-v1-Projects
Don't forget to LIKE, SUBSCRIBE, and hit the BELL icon for more LangChain v1 project tutorials!
#LangChain #RAG #SemanticSearch #VectorDatabase #AI #MachineLearning #Python
📚 Learn More with My Udemy Courses
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
