Persistent Chat Memory with GPT-4o-mini & Qdrant Vector DB

Builds a long-term memory system for AI agents using vector databases to store and retrieve conversations semantically, enabling persistent context across sessions.

This workflow implements a sophisticated long-term memory system for AI assistants using GPT-4o-mini and Qdrant vector database. It automatically stores conversations with embeddings for semantic retrieval, bypassing traditional context window limits. Key features include persistent storage, intelligent semantic search, Cohere reranking for relevance, and structured metadata management, ensuring scalable performance for unlimited users and sessions. Benefits include transforming stateless chatb
Platform
n8n
Category
Finance & Accounting
Price
$24.99
Creator
Fiona Horvath

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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