grag
Fast grep-based document search for LLM agents. No embeddings, just speed.
Why grag?
- 10x faster than embeddings-based search for exact matches
- Zero cost - no API calls, no vector databases
- Precise - finds exact terms, not "similar" content
- Lightweight - minimal dependencies
- LLM-ready - returns context windows perfect for prompts
Quick Start
pip install grag
from grag import Grag
# Index your documents
store = Grag("./contracts")
# Search with context
results = store.search("late payment penalty", context_chars=500)
# Use in LLM prompt
for result in results:
print(result.format_for_llm())
Supported Formats
- DOCX (Word)
- XLSX (Excel)
- CSV
- TXT
- Markdown (.md, .markdown)
When to use grag vs RAG
Use grag for:
- Exact term matching (IDs, dates, specific clauses)
- Legal/medical documents with precise terminology
- Cost-sensitive applications
- Low-latency requirements
Use RAG for:
- Semantic similarity
- Multi-lingual fuzzy matching
- Conceptual queries
Or use both: grag first for exact matches, RAG as fallback.
Development Status
v0.1.0 — Alpha release. The API is functional and tested. Feedback welcome.
Contributing
Contributions welcome. Open an issue or PR on GitHub.
License
MIT License - see LICENSE file for details.
Author
Built by Alan Sepulveda for Teral and the open source community.
1 maintainer
Metadata
1 maintainer
Release files for grag-search 0.1.0
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 | |
|---|---|---|---|---|
| grag_search-0.1.0.tar.gz | 25.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| grag_search-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.6 kB
Release files / grag_search-0.1.0.tar.gz
| Download URL | grag_search-0.1.0.tar.gz |
|---|---|
| Size | 25.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
331661b7cd2ff8b20808aa009b86e347199991ee656e739a50527141c16db82f
|
|
BLAKE2b-256 checksum How to use checksums |
7eeb660a27eee3cb65b80a6b5f37f0b84b520fa09adda2ae05461c7c04354099
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 29, 2026.
Transparency logRelease files / grag_search-0.1.0-py3-none-any.whl
| Download URL | grag_search-0.1.0-py3-none-any.whl |
|---|---|
| Size | 25.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2b277112f6c30895f5a23633c765f35d1eda777da4d95e98245a339ee83cd82d
|
|
BLAKE2b-256 checksum How to use checksums |
6242a7765af47356b65b96196015012d29ba711625d5a2b915d52b9e11045d24
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 29, 2026.
Transparency logSecurity for grag-search 0.1.0
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 grag_search-0.1.0.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 Apr 29, 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.
