rag-plug
Python client for the RAGPlug backend API. It supports adding documents to memory, semantic search, schema retrieval, and deleting items by ID (sync and async).
Features
RagPlugclient with typed response models.- API key authentication through
X-API-Key. - Operations scoped to a target memory (
memory_name). - Ready-to-run Python examples in
examples/. - CLI helper scripts for quick add/search flows.
Requirements
- Python
3.10+ - Poetry (recommended)
Installation
poetry install
For local editable install with pip:
pip install -e .
Configuration
Create a .env file in the project root:
API_KEY=your_api_key
MEMORY_NAME=your_memory_name
.env is already listed in .gitignore and should not be committed.
Python Usage
from ragplug import RagPlug
client = RagPlug(api_key="YOUR_API_KEY", default_memory_name="main")
item = client.add(
{
"text": "Paris is the capital of France",
"source": "docs",
}
)
response = client.search("capital of France", field_name="text", top_k=3)
schema = client.schema()
client.delete(item.id)
Async usage:
import asyncio
from ragplug import RagPlug
async def main() -> None:
client = RagPlug(api_key="YOUR_API_KEY", default_memory_name="main")
item = await client.aadd({"text": "Async memory text"})
response = await client.asearch("Async memory", field_name="text", top_k=3)
await client.adelete(item.id)
print(response.results)
asyncio.run(main())
Examples
The repository includes runnable examples:
examples/sync_usage.pyexamples/async_usage.py
Run them with:
set -a; source .env; set +a
poetry run python examples/sync_usage.py
poetry run python examples/async_usage.py
CLI Scripts
scripts/add_memory.pyscripts/search.py
Example:
set -a; source .env; set +a
poetry run python scripts/add_memory.py \
--api-key "$API_KEY" \
--memory-name "$MEMORY_NAME" \
--document '{"text":"Smoke test memory","source":"scripts"}'
poetry run python scripts/search.py \
--api-key "$API_KEY" \
--memory-name "$MEMORY_NAME" \
--query "Smoke test" \
--field-name "text" \
--mode "naive" \
--top-k 5
Development Commands
poetry check
poetry build
poetry run python -m compileall ragplug scripts examples
If you use Taskfile:
task all
Release
CI publishes to PyPI for tags matching v*.
The tag must match the package version in pyproject.toml.
Example:
poetry version patch
git tag v$(poetry version -s)
git push origin --tags
Project Structure
ragplug/client.py: publicRagPlugfacade.ragplug/types.py: response models andRagPlugError.ragplug/_api.py,_transport.py,_error_handler.py,_validation.py,_response_parser.py: internal client layers.examples/: sync/async usage examples.scripts/: CLI utilities.
Metadata
Release files for rag-plug 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rag_plug-0.2.1.tar.gz | 4.8 kB | With provenance | Details for rag_plug-0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rag_plug-0.2.1-py3-none-any.whl | Python 3 | none | any | Details for rag_plug-0.2.1-py3-none-any.whl |
Total release size: 12.3 kB
Release files / rag_plug-0.2.1.tar.gz
| Download URL | rag_plug-0.2.1.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0ac0fa56e9f0dbd77019cff06c508e43051d33224cbbeb6c51bcd3ac3dabcc90
|
|
BLAKE2b-256 checksum How to use checksums |
24c1f1caf762cc55bae1cf3ebe95593511370fc0eb1dae9aef79f25d5742e43c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 15, 2026.
Transparency logRelease files / rag_plug-0.2.1-py3-none-any.whl
| Download URL | rag_plug-0.2.1-py3-none-any.whl |
|---|---|
| Size | 7.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
076b388dbed466a95d513cc93999f600d67a2ddd483013961b44e63377d76786
|
|
BLAKE2b-256 checksum How to use checksums |
3c5ae66e69b202520c00ea93685001442cc4d3c9a213e97730afddf92bd3d955
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 15, 2026.
Transparency logSecurity for rag-plug 0.2.1
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.
Attestation for rag_plug-0.2.1.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 Mar 15, 2026.
Transparency logA 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.