Skip to main content

okf (Python binding)

Python binding of okf-ingest — a unified ingestion tool for Open Knowledge Format (OKF) bundles. Validate a bundle, load it into a portable DuckDB catalog, and semantically search it.

pip install okf-ingest
okf validate ./bundle
okf ingest   ./bundle --db catalog.duckdb
okf embed    catalog.duckdb            # uses local Ollama nomic-embed-text by default
okf rag      catalog.duckdb --query "how is revenue computed?" -k 5
import okf
con, summary = okf.ingest("./bundle", db_path="catalog.duckdb")
okf.embed(con)                         # pluggable embedder
okf.rag_search(con, "revenue", k=5)

The catalog format is shared with the R binding (okf on CRAN-style install), so you can ingest/embed in one language and query from the other. See the project README and docs/ for the full spec-conformance notes and architecture.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

okf_ingest-0.11.0.tar.gz (33.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

okf_ingest-0.11.0-py3-none-any.whl (37.3 kB view details)

Uploaded Python 3

File details

Details for the file okf_ingest-0.11.0.tar.gz.

File metadata

  • Download URL: okf_ingest-0.11.0.tar.gz
  • Upload date:
  • Size: 33.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for okf_ingest-0.11.0.tar.gz
Algorithm Hash digest
SHA256 237577465b9cf8c082acc703a0fed9e8f8f4d961407b22dda18df952bcf3bbc3
MD5 8697d12a46bf8e31096decc5f6772cbb
BLAKE2b-256 3fe6b820d9798513030def17c5bceb64692352b9e75edc13190fc6691837559f

See more details on using hashes here.

File details

Details for the file okf_ingest-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: okf_ingest-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 37.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for okf_ingest-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c8fe719ca1c6127a415c45e5d8e5fcc692945cda03f3a01f389be20ddf9d5e9a
MD5 8be9408b78cd5be2ca4781433f806128
BLAKE2b-256 10e505329f5104daa25e0a325b69cad6721a5c02f97f44b96a2e8dcf8d815350

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page