stache-ai-enrichment
AI-powered metadata enrichment for Stache (standard features).
Features
Automatically enriches document metadata with:
- Summary: 2-3 sentence summary of document content and purpose
- Document Type: Classification (article, guide, tutorial, reference, etc.)
- Chunking Strategy: Recommended chunking strategy based on document structure
Installation
pip install stache-ai-enrichment
The enricher automatically registers via entry points - no configuration needed.
Cost
Approximately $0.0005 per document using Nova Lite (default model).
Requirements
stache-ai>=0.1.6(includes BaseAIEnricher and LLM structured output support)- Bedrock LLM provider with Nova or Claude models
Coexistence with Enterprise Plugin
This plugin can coexist with stache-ai-enrichment-enterprise:
- Standard plugin: priority=80, extracts basic fields
- Enterprise plugin: priority=85, extracts advanced fields (concepts, entities, relationships)
- Enterprise plugin detects standard plugin and avoids duplicate LLM calls
License
MIT
Metadata
Release files for stache-ai-enrichment 0.1.1
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 |
|---|---|---|---|---|
| stache_ai_enrichment-0.1.1.tar.gz | 7.1 kB | Without provenance | Details for stache_ai_enrichment-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| stache_ai_enrichment-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for stache_ai_enrichment-0.1.1-py3-none-any.whl |
Total release size: 12.3 kB
Release files / stache_ai_enrichment-0.1.1.tar.gz
| Download URL | stache_ai_enrichment-0.1.1.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e974eef6c401c3ed0f4ad55703058aeba38e3b29cd011d11045e2be8cfb65ece
|
|
BLAKE2b-256 checksum How to use checksums |
87704af5c318bd3b5f3d3a8fdcebf6e6d02ff4de001d3b53deab7b5c929a3582
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / stache_ai_enrichment-0.1.1-py3-none-any.whl
| Download URL | stache_ai_enrichment-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
16e4e98fbec849c570fe080052a6232311a4d6b5b2fdb75e22ed3aa4f43e1f1b
|
|
BLAKE2b-256 checksum How to use checksums |
44dd4f98d78ae189b9c079b2aab8086ae0bd77b4e15c97f1be0ece58719a7950
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for stache-ai-enrichment 0.1.1
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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