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Deterministic, agent-free ingestion tool for Open Knowledge Format (OKF) bundles — validate, load into a portable DuckDB catalog, render, graph, and semantically search, from R or Python.

Project description

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.

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