ai-parrot-embeddings 0.1.3

Concrete embedding, vector-store, and reranker backends for AI-Parrot

ai-parrot-embeddings

Concrete backend implementations for the AI-Parrot retrieval stack: embedding models, vector stores, and rerankers.

What's in this package

This satellite contributes modules to three subsystems of the parrot.* namespace:

• parrot.embeddings.{google, huggingface, openai} — embedding backends
• parrot.stores.{postgres, pgvector, milvus, arango, bigquery, faiss_store} — vector stores
• parrot.rerankers.{local, llm} — rerankers

The abstract base classes (EmbeddingModel, AbstractStore, AbstractReranker), the registries (EmbeddingRegistry), the dispatch maps (supported_embeddings, supported_stores), and all shared types (parrot.stores.models.Document, SearchResult, etc.) remain in the ai-parrot core package.

Import contract

This package uses PEP 420 implicit namespace packages. Its modules ship directly under the existing parrot.* namespace — no separate top-level. Existing imports continue to work unchanged once installed:

from parrot.embeddings.huggingface import SentenceTransformerModel  # from satellite
from parrot.stores.pgvector import PgVectorStore                    # from satellite
from parrot.embeddings import EmbeddingRegistry                     # from core
from parrot.stores import AbstractStore, supported_stores           # from core

No code changes are needed in user projects after upgrading from ai-parrot[embeddings] to ai-parrot-embeddings[...].

Install

Goal	Command
Core framework only (no backends)	pip install ai-parrot
One backend	pip install ai-parrot-embeddings[pgvector]
Multiple backends	pip install ai-parrot-embeddings[pgvector,milvus,huggingface]
Embeddings + vector stores	pip install ai-parrot-embeddings[huggingface,pgvector]
Rerankers	pip install ai-parrot-embeddings[reranker-local]
Everything	pip install ai-parrot-embeddings[all]
Legacy all-in-one (unchanged)	pip install ai-parrot[all]

Extras

Extra	Pulls in	Enables
huggingface	sentence-transformers, tokenizers, safetensors, einops, accelerate, peft, xformers, simsimd, bm25s, rank_bm25, sentencepiece	parrot.embeddings.huggingface.SentenceTransformerModel
google	google-genai, google-cloud-aiplatform	parrot.embeddings.google.GoogleEmbeddingModel
openai	openai, tiktoken	parrot.embeddings.openai.OpenAIEmbeddingModel
pgvector	pgvector==0.4.1	parrot.stores.postgres.PgVectorStore, parrot.stores.pgvector.PgVectorStore
milvus	pymilvus, milvus-lite	parrot.stores.milvus.MilvusStore
arango	python-arango-async	parrot.stores.arango.ArangoDBStore
bigquery	google-cloud-bigquery	parrot.stores.bigquery.BigQueryStore
faiss	(no extra deps; faiss-cpu ships with ai-parrot core)	parrot.stores.faiss_store.FAISSStore
chroma	chromadb	(reserved for future ChromaStore)
reranker-local	sentence-transformers, tokenizers, safetensors	parrot.rerankers.local.LocalCrossEncoderReranker
reranker-llm	(no extra deps; uses existing LLM clients)	parrot.rerankers.llm.LLMReranker
all	All of the above	Full retrieval stack

Development

git clone https://github.com/phenobarbital/ai-parrot
cd ai-parrot
source .venv/bin/activate
uv pip install -e packages/ai-parrot -e packages/ai-parrot-embeddings
uv run pytest packages/ai-parrot-embeddings/tests/

Or for the full workspace (if no pre-existing dependency conflicts):

uv sync --all-packages

Architecture

This package uses PEP 420 implicit namespace packages (not the parrot_<name>.* + sys.meta_path redirector pattern used by ai-parrot-tools, -loaders, -pipelines). The satellite ships no __init__.py files at parrot/, parrot/embeddings/, parrot/stores/, or parrot/rerankers/. Python's import machinery merges the satellite's directory entries with the host's regular packages at import time, because the host's sub-package __init__.py files call pkgutil.extend_path.

Design rationale

• Spec: sdd/specs/ai-parrot-embeddings.spec.md
• Proposal: sdd/proposals/ai-parrot-embeddings.proposal.md
• Feature: FEAT-201