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2
RAG and Tool Calling
Days 19–34 · 16 lessons
19
What Are Embeddings?
20
Cosine Similarity and Euclidean Distance
21
Generating Embeddings via API
22
pgvector -- Embeddings in PostgreSQL
23
Indexing, Querying, and Updating Vector Databases
24
Document Parsing for RAG
25
Text Chunking Strategies
26
Injecting Retrieved Context into Prompts
27
GraphRAG and Knowledge Graphs
28
Native Tool Calling (Function Calling)
29
Tool Schemas: From Pydantic Models to LLM-Ready Definitions
30
Parsing Tool Calls, Executing Functions & Returning Results
31
Tool Execution — Part 2: Parallel Calls & Error Recovery
32
Multimodal Agent Inputs: Vision and Audio
33
Cost Engineering for LLMs
34
Capstone — Build a RAG Chatbot
Capstone