How to build your own long-term Agentic Memory System for LLMs | Mem0 from scratch in DSPy
In this video we are using DSPy and QDrant Vector Database to create our own memory system from scratch! We are building the core components of Mem0 from the ground up, one step at a time. You'll learn about the Mem0 API, the basics of DSPy signatures and modules, generating embeddings, inserting and searching with vector databases (QDrant), and tool calling with dspy.React.
Follow me on Twitter: https://x.com/neural_avb
To join our Patreon, visit: https://www.patreon.com/NeuralBreakdownwithAVB
Members get access to everything behind-the-scenes that goes into producing my videos - including…
Watch on YouTube ↗
(saves to browser)
Chapters (10)
Intro
2:56
The Basic Chatbot
6:16
What the original Mem0 API looks like
10:04
The Roadmap
12:11
Extracting Memories from Conversations
21:17
Embeddings & Vector DBs
27:03
Evaluation Dataset
34:39
Tool Calling
39:13
Memory Upkeep CRUD Agent
45:46
Testing
DeepCamp AI