DataBridge
A Python client for DataBridge API that enables document ingestion and semantic search capabilities.
Installation
pip install databridge-client
from databridge import DataBridge
# Initialize client
db = DataBridge("your-api-key")
# Ingest a document
doc_id = await db.ingest_document(
content="Your document content",
metadata={"title": "Example Document"}
)
# Query documents
results = await db.query(
query="Your search query",
filters={"title": "Example Document"}
)
# Process results
for result in results:
print(f"Content: {result.content}")
print(f"Score: {result.score}")
print(f"Metadata: {result.metadata}")
1 maintainer
Metadata
1 maintainer
Release files for databridge-client 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| databridge_client-0.3.0.tar.gz | 22.5 kB | Without provenance | Details for databridge_client-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| databridge_client-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for databridge_client-0.3.0-py3-none-any.whl |
Total release size: 48.0 kB
Release files / databridge_client-0.3.0.tar.gz
| Download URL | databridge_client-0.3.0.tar.gz |
|---|---|
| Size | 22.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / databridge_client-0.3.0-py3-none-any.whl
| Download URL | databridge_client-0.3.0-py3-none-any.whl |
|---|---|
| Size | 25.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.6
|
Security for databridge-client 0.3.0
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