Knowledge Vault (Powered by TiDB Zero)

Overview

Knowledge Vault is a Long-Term Memory module for AI Agents, powered by TiDB Vector Search (RAG).

Traditional agent memory (context window) is ephemeral and limited. Knowledge Vault allows agents to:

1. Store: Ingest documents, notes, and facts as vector embeddings.
2. Retrieve: Semantically search for relevant information based on user queries ("RAG").
3. Remember: Access unlimited historical context without overflowing the LLM prompt.

Why use this?

• Infinite Recall: Store millions of documents without confusing the agent.
• Contextual Relevance: Find exact paragraphs related to a question, not just keywords.
• Privacy: Keep your knowledge base private in your own TiDB Cloud instance.

Prerequisites

• TiDB Cloud (Serverless): With Vector Search enabled.
• Embedding Model: Requires GEMINI_API_KEY (or compatible).