embeddings_hyperbolic

Hyperbolic embedding operations (Poincaré ball) Use when text similarity matters beyond keyword match — native Grep finds exact strings, embeddings find meaning. Pair with memory_store / agentdb_pattern-search to land the vector against your knowledge base. For literal symbol search, native Grep ...

Server Ruflo ruvnet/ruflo
Category Read
Risk class Low
Parameters 00 required

What embeddings_hyperbolic does on Ruflo

AI agents call embeddings_hyperbolic to retrieve information from Ruflo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why embeddings_hyperbolic needs a policy

This tool retrieves or queries embeddings and performs similarity comparisons on text data. It has no side effects, does not execute code or commands, does not create or modify data, does not delete anything, and does not involve financial operations. It is purely a read/retrieval operation that transforms text into vector representations for comparison purposes.

From the tool's definition Tool performs 'Hyperbolic embedding operations' and 'text similarity' analysis. Description explicitly contrasts with search operations and indicates it 'finds meaning' in text rather than modifying or executing.

Questions about embeddings_hyperbolic

What does the embeddings_hyperbolic tool do? +

Hyperbolic embedding operations (Poincaré ball) Use when text similarity matters beyond keyword match — native Grep finds exact strings, embeddings find meaning. Pair with memory_store / agentdb_pattern-search to land the vector against your knowledge base. For literal symbol search, native Grep is faster. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on embeddings_hyperbolic? +

Register the Ruflo MCP server in PolicyLayer and add a rule for embeddings_hyperbolic: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Ruflo. Nothing to install.

What risk level is embeddings_hyperbolic? +

embeddings_hyperbolic is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit embeddings_hyperbolic? +

Yes. Add a rate_limit block to the embeddings_hyperbolic rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block embeddings_hyperbolic completely? +

Set action: deny in the PolicyLayer policy for embeddings_hyperbolic. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides embeddings_hyperbolic? +

embeddings_hyperbolic is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

embeddings_hyperbolic is one line of Ruflo's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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