zerodb-workflows

What problem does it solve?

This skill solves the challenge of designing and implementing scalable AI memory, semantic search, and RLHF workflows using ZeroDB, enabling reliable retrieval and memory management across agents and applications.

Core Features & Use Cases

• Pattern-driven memory management for short-term and long-term knowledge, enabling efficient context windows and long-term recall.
• Semantic search and RAG patterns with hybrid vector+metadata filtering to retrieve relevant context across sessions and documents.
• RLHF data collection and analysis to build training datasets, evaluate responses, and improve model behavior.
• Scalable vector storage techniques using ZeroDB upsert, batch operations, and metadata-rich indexing for performant queries.
• Use cases include AI agents with persistent memory, knowledge retrieval for chatbots, and curated datasets for model fine-tuning.

Quick Start

Install and load the ZeroDB workflows skill into your ~/.ainative/skills directory, then initialize your client with your API key to begin storing vectors and memories and querying them to build a memory-enabled assistant.