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[Integration]: Moss as Datasource #12414

@CoderOMaster

Description

@CoderOMaster

Is there an existing integration?

  • I have searched the existing integrations.

Use Case

Moss is a semantic search runtime built for Conversational AI agents. It lets you index documents and query them in under 10ms fast enough for real-time conversation, compared to 200–300ms with typical retrieval systems.

The MindsDB integration would allow users to connect a Moss instance as a data source, enabling semantic search queries directly within MindsDB's SQL interface and AI pipelines.

Motivation

Retrieval-Augmented Generation (RAG) pipelines are latency-sensitive slow retrieval breaks the conversational experience. Moss is purpose-built to solve this, but currently requires custom integration work in each project. A MindsDB handler would let users plug Moss into AI workflows without writing any custom retrieval code, and pair it with MindsDB's model layer for end-to-end RAG in pure SQL.

Implementation

I am looking into other existing integrations and i think final implementation of usage would look like:

CREATE DATABASE moss_datasource
WITH ENGINE = 'moss'
PARAMETERS = {
"index_name" : "sample_index",
"alpha": "0" -- optional, 0-1 range
}

Anything else?

Look up us on https://moss.dev

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