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Course content
Sections:
2
•
Activities:
0
•
Resources:
70
- 001-Introduction-JLTt-gitir
- 002-Outline-4R1U-gitir
- 003-Section Intro-GnG3-gitir
- 004-Intro to RAG Core Concepts-2C4H-gitir
- 005-Principles Traditional Methods vs RAG-8S37-gitir
- 006-Real world applications and use cases-yxRr-gitir
- 007-Understanding Retrieval Augmented Generation architecture-2CMD-gitir
- 008-Section Intro-FDdq-gitir
- 009-Basics of LLMs and Closed Source Models-5wJN-gitir
- 010-Closed Source Open Source LLMs Continued-mtYp-gitir
- 011-Closed vs Open Source Models Software-qERY-gitir
- 012-What does Retrieval Augmented Generation RAG do to LLMs-GAk8-gitir
- 013-Let s run an Open Source LLM locally-EL45-gitir
- 014-Downloading Python VS Code Git and more-O9El-gitir
- 015-Cloning and accessing all Projects-uSom-gitir
- 016-Section Intro-GjK2-gitir
- 017-What are Vectors and Why we use them-d9Z8-gitir
- 018-What are Embeddings-xQlQ-gitir
- 019-Setting up over VS Code Project-7kOT-gitir
- 020-Audio Graph Text and Image Vectors Embeddings-PaMc-gitir
- 021-Vector DB Indexing and Pinecone Setup-I1sI-gitir
- 022-Image Text and Paragraph Indexing and Matching-hbok-gitir
- 023-Section Intro-zbM9-gitir
- 024-Components of Basic RAG Pipeline LangChain and Loaders-MItt-gitir
- 025-Create a Website Chatbot-5Pt4-gitir
- 026-Add a Memory to your Website Chatbot-weHn-gitir
- 027-Building a CSV Excel Data Chatbot-aMWF-gitir
- 028-Section Intro-qUnu-gitir
- 029-Advanced Text Splitting Re ranking Chunking Techniques-Dg2q-gitir
- 030-Building Query Expansion Workflow-DAJL-gitir
- 031-Section Intro-8KVR-gitir
- 032-SQL Database Chatbot using LangChain-W3R5-gitir
- 033-Prompt Caching In Memory and DB-XUfS-gitir
- 034-Multi modal Chatbot-Kct1-gitir
- 035-Congratulations-ScE6-gitir
- 001 Introduction JLTt gitir
- 002 Outline 4R1U gitir
- 003 Section Intro GnG3 gitir
- 004 Intro to RAG Core Concepts 2C4H gitir
- 005 Principles Traditional Methods vs RAG 8S37 gitir
- 006 Real world applications and use cases yxRr gitir
- 007 Understanding Retrieval Augmented Generation architecture 2CMD gitir
- 008 Section Intro FDdq gitir
- 009 Basics of LLMs and Closed Source Models 5wJN gitir
- 010 Closed Source Open Source LLMs Continued mtYp gitir
- 011 Closed vs Open Source Models Software qERY gitir
- 012 What does Retrieval Augmented Generation RAG do to LLMs GAk8 gitir
- 013 Let s run an Open Source LLM locally EL45 gitir
- 014 Downloading Python VS Code Git and more O9El gitir
- 015 Cloning and accessing all Projects uSom gitir
- 016 Section Intro GjK2 gitir
- 017 What are Vectors and Why we use them d9Z8 gitir
- 018 What are Embeddings xQlQ gitir
- 019 Setting up over VS Code Project 7kOT gitir
- 020 Audio Graph Text and Image Vectors Embeddings PaMc gitir
- 021 Vector DB Indexing and Pinecone Setup I1sI gitir
- 022 Image Text and Paragraph Indexing and Matching hbok gitir
- 023 Section Intro zbM9 gitir
- 024 Components of Basic RAG Pipeline LangChain and Loaders MItt gitir
- 025 Create a Website Chatbot 5Pt4 gitir
- 026 Add a Memory to your Website Chatbot weHn gitir
- 027 Building a CSV Excel Data Chatbot aMWF gitir
- 028 Section Intro qUnu gitir
- 029 Advanced Text Splitting Re ranking Chunking Techniques Dg2q gitir
- 030 Building Query Expansion Workflow DAJL gitir
- 031 Section Intro 8KVR gitir
- 032 SQL Database Chatbot using LangChain W3R5 gitir
- 033 Prompt Caching In Memory and DB XUfS gitir
- 034 Multi modal Chatbot Kct1 gitir
- 035 Congratulations ScE6 gitir