# CommSync Runs Text, Vector, and Hybrid Search on Postgres with Lakebase Search

DevFeed: [CommSync Runs Text, Vector, and Hybrid Search on Postgres with Lakebase Search](<https://devfeed.tech/articles/commsync-runs-text-vector-and-hybrid-search-on-postgres-with-lakebase-search-5142.md>)

Original publisher: [Read original article](<https://neon.com/blog/commsync-runs-text-vector-and-hybrid-search-on-postgres-with-lakebase-search>)

Author: Carlota Soto

Published: 2026-07-30T12:00:00Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Latency](<https://devfeed.tech/topics/latency.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [App](<https://devfeed.tech/topics/app.md>), [Extension](<https://devfeed.tech/topics/extension.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [app](<https://devfeed.tech/tags/app.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [feature](<https://devfeed.tech/tags/feature.md>), [features](<https://devfeed.tech/tags/features.md>), [latency](<https://devfeed.tech/tags/latency.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [product](<https://devfeed.tech/tags/product.md>), [search](<https://devfeed.tech/tags/search.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

CommSync describes using Neon's Lakebase Search extensions on Postgres for lexical, semantic, and hybrid inbox search. The article reports substantially lower query latency than the previous GIN-based approach and explains a hybrid implementation combining BM25, embedding-based cosine similarity, and Reciprocal Rank Fusion.

## Source excerpt

"We're running lakebase_text and lakebase_vector across three different parts of our product. Query latency improved 1,000x and we don't need a separate search stack sitting next to our Postgres."