How to build your own long-term Agentic Memory System for LLMs | Mem0 from scratch in DSPy

Neural Breakdown with AVB · Beginner ·🔍 RAG & Vector Search ·5mo ago
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…
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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
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