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Pgsemantic

Point at your Postgres DB, get vector search instantly

Details

External ID
47521443
Source
HN
Company
—
Product
Pgsemantic
Website domain
github.com
Launched
March 25, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.7207872078720787
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
database infrastructure and developer tools
Vertical
Horizontal
Function
Search & retrieval
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
vector search for postgres databases
Manually corrected
False

Could you build this?

Yes It is a utility CLI or service that introspects Postgres schema, triggers an embedding API on selected text columns, and creates/queries standard `pgvector` indexes.

Discussion

1 comment analyzed.

Competitors mentioned: pgvector, ai2sql.io

Concerns raised: Embedding generation latency — trigger vs batch sync tradeoff, Schema evolution handling — automatic detection or manual reconfiguration, Search results lag in batch sync mode

Feature requests: Hybrid queries combining natural language-to-SQL with vector similarity, Automatic detection of new searchable columns

Competitors

Other products that read as similar to this one — 86 launches clear the similarity bar, closest 8 shown.

Attention rank: #30 of 87 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 145 days after the earliest competitor.

Other launches for this product