You'll master custom tool development and RAG by building a complete knowledge retrieval system using ChromaDB, creating custom tools that agents can call, and implementing the full function-calling workflow for enhanced agent capabilities.
Overview
Syllabus
- Unit 1: Simple Agent with RAG
- Enhance RAG Retrieval Function
- Sharper RAG Retrieval Prompts
- From Notes To Answers
- Unit 2: Chunking Knowledge Base Data
- Chunk Text by Word Count
- Enhance Chunk Metadata
- Chunking Text for Knowledge Base
- Unit 3: Building RAG Collections
- Dynamic Chunking for RAG Collection
- Enhance RAG Retrieval Process
- Dynamic Retrieval with Top K Chunks
- Integrate an Agent for Queries
- Build a RAG System from Scratch
- Unit 4: Custom RAG Retrieval Tool
- Integrate Retrieval Tool with Agent
- Build Your Custom Retrieval Tool
Related Courses
-
Scaling up RAG with Vector Databases in Rust
-
Scaling up RAG with Vector Databases
1.0 -
Scaling up RAG with Vector Databases in Java
-
Scaling up RAG with Vector Databases using JavaScript
-
Document Context and Retrieval-Augmented Generation (RAG)
-
Master RAG: Ultimate Retrieval-Augmented Generation Course
Related Articles
-
[2026] Unlock 2000+ Free Certificates: Master Tech & Soft Skills with CodeSignal Learn
-
Become a Supercommunicator: Practical Skills for Better Conversations
-
CodeSignal – The Duolingo of Coding Practice
-
9 Best Vector Database Courses to Implement AI’s Searchable Memory
-
Write Prompts That Actually Work: ZTM’s Prompt Engineering Bootcamp Review
-
12 Best Applied AI & ML Courses for 2026
