PARSIMONY

Pre-built searchable indexes of financial and economic data series.

Each dataset here is a drop-in catalog — a parquet of series metadata plus a FAISS embedding index — consumed by the matching parsimony connector to resolve natural-language queries like "swiss policy rate" or "US 10-year yield" to a provider-native series ID, without hitting the upstream provider.

These datasets are not meant to be browsed directly. Install the relevant connector from parsimony-connectors — its <provider>_search function pulls the catalog on first use and caches it locally.

Anatomy of a catalog

• entries.parquet — one row per series with provider ID, title, units, frequency.
• embeddings.faiss — dense vector index over titles and descriptions for semantic lookup.
• meta.json — provider, snapshot timestamp, embedding model, row counts.

Catalogs are pulled on-demand by the matching connector and cached locally. No API keys required to read the indexes — keys are only needed when you fetch the actual series from the upstream provider.

Links

• Kernel — github.com/ockham-sh/parsimony
• Connectors — github.com/ockham-sh/parsimony-connectors
• Docs — docs.parsimony.dev
• PyPI — parsimony-core

Maintained by Ockham · Apache 2.0