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AI Chatbot with RAG in .NET Using Your Data

4h 25m

Let's Build It

Progress0%

0 / 28 lessons4h 24m left

Course overview(0/3)

WelcomeFree Preview2m 28s What will you learn in this course?Free Preview59s Who is the course for and prerequisitesFree Preview2m 21s

Embeddings & Vector Search(0/5)

What is a Vector?Read for free3m 23s Semantic Search vs Keyword SearchRead for free6m 58s Creating Embeddings With A Large Language Model (LLM)Read for free17m 12s Searching With Vectors (Cosine Similarity & Euclidean Distance)Read for free7m 3s Introduction To PineconeRead for free3m 34s

A Semantic Search Engine in C#(0/6)

Vector Search Architecture in .NETRead for free8m 30s Creating Embeddings From WikipediaRead for free14m 27s Pinecone Index Design & Upsert16m 14s Adding a Key Value Store10m 25s Building A Search Endpoint16m 6s Sentence Splitting and Chunking36m 51s

Creating A RAG Pipeline(0/5)

Retrieval Augmented Generation (RAG) Explained7m 55s Writing LLM Prompts For RAG6m 36s Implementing A Generation Step In C#9m 13s Answering Questions About Your Data9m 6s Creating An Index Of YouTube Transcripts9m 37s

HYDE: Hypothetical Documents For Better Recall(0/3)

What Are Hypothetical Document Embeddings8m 27s Generating A HYDE Query13m 8s Augmented Retrieval And Fusion Step (RRF/MMR)10m 30s

Building A Conversational Experience(0/5)

Building A Basic Chatbot in C#12m 35s Tool Calling With LLMs6m 21s Adding A Database Search Tool13m 59s Multi Search Operations8m 17s Using Your Own Data2m 31s

Course conclusion(0/1)

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Generating A HYDE Query

HYDE: Hypothetical Documents For Better Recall

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