How We Optimized Top K in Postgres
How ParadeDB uses principles from search engines to optimize Postgres' Top K performance.
Top K is a deceptively hard problem in Postgres. "Give me the 10 best rows" works until you add filters and text search, then GIN can't sort and B-trees can't search.
BM25 indexes handle equality, sort, and range in one data structure. Here's why that matters:
www.paradedb.com/blog/optimiz...
03.03.2026 18:24
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ParadeDB is now supported on NixOS.
#nix
26.02.2026 17:45
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It is now possible to reference the ParadeDB Skill directly via npx:
24.02.2026 22:39
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We're launching Agent Skills and MCP Server for ParadeDB. These will empower your AI coding agent to produce top-notch, accurate ParadeDB code effortlessly.
For Skill, go to: github.com/paradedb/age...
For MCP:
10.02.2026 16:32
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Retrieve and Rerank: Personalized Search Without Leaving Postgres
Build a production-grade personalized search engine entirely within Postgres using BM25 retrieval and vector-based reranking, no external infrastructure required.
Ankit (ex-Instacart) shows us how to build personalized search entirely inside PostgreSQL.
A search for “king” could mean LOTR: Return of the King or The King’s Speech.
To fix that:
• Retrieve with BM25
• Rerank with embeddings + cosine similarity
www.paradedb.com/blog/persona...
22.01.2026 17:29
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How We Made Writes 10x Faster for Search
How ParadeDB achieved 10x improved write throughput through searchable buffers, background merging, and handling Postgres HOT chains.
As part of our v0.20.0 release late last year we did a lot of work on increasing write throughput.
Adding any index to a Postgres table trades off write speed for read speed, and BM25 indexes aren't any exception.
So we set out to make things better ....
www.paradedb.com/blog/increas...
14.01.2026 20:44
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14x Faster Faceted Search in PostgreSQL with ParadeDB
Introducing faceted search in ParadeDB - bringing the power of search engine faceting to PostgreSQL with single-query aggregations.
Faceting looks simple, it's just counts next to search results right? But making it fast and ergonomic is harder than it seems.
We just shipped native faceting in ParadeDB: it runs inside Postgres, in a index single pass, and is 14× faster over large result sets👇
www.paradedb.com/blog/faceting
10.12.2025 01:26
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Blog
Engineering deep dives, product and company announcements, and guides from the ParadeDB team.
We're excited to announce the release of v0.20.0. This release brings:
- Official support for accelerated facets in ParadeDB
- An order of magnitude improvement to our write throughput
- A brand new SQL interface that's more SQL-native and ORM-friendly
www.paradedb.com/blog/paraded...
26.11.2025 19:05
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Hybrid Search in PostgreSQL: The Missing Manual
Build production-ready hybrid search that combines BM25 lexical matching with vector similarity search, all inside PostgreSQL
Sometimes it can be hard to work out how to assemble the LEGO to get search working in Postgres; so we wrote the Missing Manual for Hybrid Search.
If you're after a little bit of lexical, and a little bit of semantic, this is for you.
www.paradedb.com/blog/hybrid-...
21.10.2025 12:36
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From Text to Token: How Tokenization Pipelines Work
Understanding how search engines transform text into tokens through character filtering, tokenization, stemming, and stopword removal.
We've got a new post out that looks at tokenization pipelines (with some cool interactive diagrams).
www.paradedb.com/blog/when-to...
Bonus points for anyone who guesses why the original title was "When Tokenization Becomes Token"
14.10.2025 08:26
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Postgres vs. Elasticsearch: Instacart’s Unexpected Winner in High-Stakes Search with Ankit Mittal
YouTube video by The Data Engineering Show - Podcast
A fantastic podcast by our engineer, Ankit Mittal, on how Instacart built search on Postgres, where the future of search infrastructure is going, and why that led him to join us at ParadeDB: www.youtube.com/watch?v=hohp...
21.09.2025 16:09
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ParadeDB
The Transactional Elasticsearch Alternative
People who use Elasticsearch fall into two camps: those who know it shouldn’t be used as a source of truth, and those who haven’t thought it through…
Seriously though, if you use Elastic as a database, we’d love to hear about it.
www.paradedb.com/blog/elastic...
#elasticsearch #database #search
18.09.2025 15:55
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ParadeDB
Zero-ETL search and analytics for Postgres
We’ve worked with 50+ companies syncing Postgres with non-Postgres sinks like Elasticsearch. Our latest post is a deep dive into how Postgres → Postgres differs from Postgres → anything else.
www.paradedb.com/blog/etl_vs_...
14.08.2025 16:46
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ParadeDB
Zero-ETL search and analytics for Postgres
We're proud to be partnering with Bilt to improve the member search experience with minimal infrastructure overhead.
www.paradedb.com/blog/case_st...
29.07.2025 17:18
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ParadeDB
Zero-ETL search and analytics for Postgres
The ParadeDB BM25 index brings Elastic-style full-text search to Postgres, powered by our custom Postgres-native LSM tree. Dive into how we built it:
www.paradedb.com/blog/lsm_tre...
30.06.2025 20:03
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Exciting news! We've partnered with Neon, one of the largest managed Postgres providers, to bring ParadeDB to their platform. As of this morning, pg_search is now live on Neon!
19.03.2025 15:29
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ParadeDB
Zero-ETL search and analytics for Postgres
ParadeDB is now integrated with Postgres block storage.
Today, we are releasing Part 1 of our 3-part blog series on how we designed a new storage mechanism for search and analytics in Postgres.
www.paradedb.com/blog/block_s...
17.01.2025 18:43
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