libvector

Vector dot-product scoring — find semantically related content without a dedicated database.

Getting Started

import { calculateDotProduct } from '@forwardimpact/libvector';

Documentation

• Search Semantically — find related content by meaning with ranked results from a vector index (fit-search), no vector database required.
• Give Agents Typed, Retrievable Knowledge — the full workflow for building an embedding pipeline from knowledge sources.

Internal CLIs

fit-process-vectors is an internal build-pipeline step (it turns resources into vector embeddings as part of populating the index). It is not an agent-facing tool and intentionally ships no skill or user guide.