Skip to main content

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 (empty — chromadb removed due to unpatched CVEs) (reserved)
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

Metadata

Release files for ai-parrot-embeddings 1.2.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ai-parrot-embeddings 1.2.5
File Size Uploaded Provenance Actions
ai_parrot_embeddings-1.2.5.tar.gz 123.2 kB With provenance Details for ai_parrot_embeddings-1.2.5.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ai-parrot-embeddings 1.2.5
File Interpreter ABI Platform Actions
ai_parrot_embeddings-1.2.5-py3-none-any.whl Python 3 none any Details for ai_parrot_embeddings-1.2.5-py3-none-any.whl

Total release size: 226.5 kB

Release files / ai_parrot_embeddings-1.2.5.tar.gz

Download URL ai_parrot_embeddings-1.2.5.tar.gz
Size 123.2 kB
Tags Source
SHA-256 checksum
How to use checksums
21414ee5bda277231efb17afc299392be0990da5e563001f548fde78ec070f19
BLAKE2b-256 checksum
How to use checksums
cb0aa3a8cdd6cb5862532b1ad2ea19946be12849587582ef34e75d298b71b38e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 27, 2026.

Transparency log

Release files / ai_parrot_embeddings-1.2.5-py3-none-any.whl

Download URL ai_parrot_embeddings-1.2.5-py3-none-any.whl
Size 103.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
89896d4c518381f793bef57415b466c2dd6cc2d8b6ed68901fb896dabe2bbf1b
BLAKE2b-256 checksum
How to use checksums
87fa40a867b364e1bbfdebd44505118c787d28dba6b0e2f2aa8f3352b2e06fad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 27, 2026.

Transparency log

Security for ai-parrot-embeddings 1.2.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for ai_parrot_embeddings-1.2.5.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 27, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.2.5 This release

2 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page