Find and merge duplicate records across datasets using AI. Use when deduplicating contacts, merging customer records, entity resolution, matching records across systems, finding duplicate tickets, fuzzy matching company names, CRM deduplication, record linkage across databases, matching people across data sources, identifying the same entity in different formats, contact merge, account deduplicati
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Build an AI Record Matcher
Match and deduplicate records across datasets with DSPy - blocking to narrow candidates, pairwise LM scoring, and transitive closure to group all matches.
Step 1: Understand the matching task
Ask the user:
What records are you matching? (contacts, companies, tickets, products, etc.)
Which fields matter? (name, email, phone, address, description, etc.)
How many records? (100s vs millions changes blocking strategy significantly)
**What def
[Description truncada. Veja o README completo no GitHub.]