Moss Knowledge Retrieval

uv add pipecat-moss

import os
import asyncio
from pipecat_moss import MossRetrievalService
from pipecat.pipeline.pipeline import Pipeline

moss_service = MossRetrievalService(
    project_id=os.getenv("MOSS_PROJECT_ID"),
    project_key=os.getenv("MOSS_PROJECT_KEY"),
    system_prompt="Relevant passages from the Moss knowledge base:\n\n",
)

async def setup_indexes():
    await moss_service.load_index(os.getenv("MOSS_INDEX_NAME"))

asyncio.run(setup_indexes())

pipeline = Pipeline([
    transport.input(),               # audio/user input
    stt,                             # speech to text
    context_aggregator.user(),       # add user text to context
    moss_service.query(os.getenv("MOSS_INDEX_NAME"), top_k=5, alpha=0.8),  # retrieve docs
    llm,                             # LLM generates response
    tts,                             # TTS synthesis
    transport.output(),              # stream audio back to user
    context_aggregator.assistant(),  # store assistant response
])