O-lang Semantic Document Search (Python)
Python implementation of the semantic document search resolver for O-lang workflows. Enables natural language search across document collections using state-of-the-art embeddings.
🚀 Features
- O-lang Protocol Compliant: Works seamlessly with O-lang kernel
- Local Embeddings: Uses
all-MiniLM-L6-v2(384-dim) for privacy and cost savings - pgvector Support: Optional PostgreSQL + pgvector integration for persistence
- In-Memory Fallback: Works without database for simple use cases
- Production Ready: Built-in error handling, timeouts, and validation
- Cross-Platform: Runs on Windows, macOS, and Linux
📥 Installation
Basic Installation
pip install olang-semantic-doc-search
1 maintainer
Metadata
1 maintainer
Release files for olang-semantic-doc-search 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| olang_semantic_doc_search-1.0.1.tar.gz | 8.8 kB | Without provenance | Details for olang_semantic_doc_search-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| olang_semantic_doc_search-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for olang_semantic_doc_search-1.0.1-py3-none-any.whl |
Total release size: 18.5 kB
Release files / olang_semantic_doc_search-1.0.1.tar.gz
| Download URL | olang_semantic_doc_search-1.0.1.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.11.6
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Release files / olang_semantic_doc_search-1.0.1-py3-none-any.whl
| Download URL | olang_semantic_doc_search-1.0.1-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.6
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Security for olang-semantic-doc-search 1.0.1
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