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@mightydatainc/ocr-table

v1.1.20

Published

Extract structured table data from PDFs, PNGs, etc., using LLM vision models

Readme

@mightydatainc/semantic-match

AI-powered semantic matching and comparison of named item lists. Resolve a user-supplied string to a canonical item in a list -- even when names differ -- and diff two versions of a list to classify each item as unchanged, renamed, removed, or added.

Installation

npm install @mightydatainc/semantic-match

Quick Start

findSemanticMatch

Find which item in a list best matches a query string, even if the names are different:

import OpenAI from 'openai';
import { findSemanticMatch } from '@mightydatainc/semantic-match';

const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

const items = ['Customer ID', 'Order Date', 'Total Amount'];

const index = await findSemanticMatch(client, items, 'Client Identifier');
console.log(index); // 0  ->  "Customer ID"

const index2 = await findSemanticMatch(client, items, 'Product Name');
console.log(index2); // -1  ->  no match found

Items can also carry an optional description to give the model more context:

import { findSemanticMatch, SemanticItem } from '@mightydatainc/semantic-match';

const items: SemanticItem[] = [
  { name: 'MRR', description: 'Monthly Recurring Revenue' },
  { name: 'ARR', description: 'Annual Recurring Revenue' },
  { name: 'Churn Rate' },
];

const index = await findSemanticMatch(
  client,
  items,
  'monthly subscription revenue'
);
console.log(index); // 0  ->  "MRR"

An optional explanation string can be passed to give the model additional context:

const index = await findSemanticMatch(
  client,
  items,
  'monthly subscription revenue',
  'These are SaaS business metrics.'
);

Exact name matches (case-insensitive) are resolved locally without an API call.

compareItemLists

Diff two versions of an item list and classify every item:

import {
  compareItemLists,
  ItemComparisonClassification,
} from '@mightydatainc/semantic-match';

const before = ['Customer ID', 'Order Date', 'Unit Price', 'Total Amount'];
const after = ['Client ID', 'Order Date', 'Grand Total'];

const results = await compareItemLists(client, before, after);

for (const entry of results) {
  console.log(entry.classification, '->', entry.item, entry.newName ?? '');
}
// renamed    -> Customer ID   Client ID
// unchanged  -> Order Date
// removed    -> Unit Price
// added      -> Grand Total

Each result object is typed as ItemComparisonResult:

| Field | Type | Description | | ---------------- | ------------------------------ | -------------------------------------------------- | | item | SemanticItem | The original item (or the new item for added). | | classification | ItemComparisonClassification | One of Unchanged, Renamed, Removed, Added. | | newName | string \| undefined | Populated only for Renamed items. |

SemanticItem

Both functions accept items as plain strings or as objects with name and optional description:

type SemanticItem = string | { name: string; description?: string };

Local dev

From packages/typescript-semantic-match:

npm ci
npm test
npm run build

Notes

  • Package name for npm install is @mightydatainc/semantic-match.
  • Requires @mightydatainc/llm-conversation >= 1.0.5.
  • All matching functions are async and return Promises.