pgvector
AssessTools
A PostgreSQL extension for storing and querying vector embeddings.
Why it's here
Placed in Assess: 6 article(s) of evidence from 2 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 53%.
Evidence (6)
- 6Hacker News·8/23/2026researchBuilding a JIT Compiler That Compiles in 5 Microseconds
The article describes how a Rust-based database project, pgrust, uses AI assistance to build a just-in-time compiler that targets assembly directly and compiles code in about 5 microseconds. It argues that this speed makes it practical to JIT-compile every SQL query, and uses a simple regex engine as the example implementation.
- 4Hacker News·8/20/2026product_launchSpacetimeDB 2.0 draws scrutiny in technical review
A Hacker News-linked technical review examines SpacetimeDB 2.0 and argues that its promotional benchmarks are not fair or technically sound. The review says the product may have interesting ideas, but its comparisons against other databases are misleading because they pit different trade-offs against each other.
- 7The New Stack·8/11/2026fundingDatabricks acquires Electric to add per-agent Postgres databases
Databricks is acquiring Electric, the company behind PGlite and the Electric sync engine, to support agentic applications that create and branch databases more frequently. Electric’s open-source projects will remain open source, but its hosted Electric Cloud service is being wound down and customers will need to self-host or switch providers.
- 8Hacker News·8/7/2026breakthroughpgrust claims major analytics speedups with batching and SIMD
The pgrust team released version 0.2 and says it is 10x faster than the previous release, with up to 300x faster results than Postgres on Clickbench. The post attributes much of the gain to a redesigned query engine using batching, operator fusion, and SIMD to reduce CPU and memory overhead.
- 7Hacker News·8/5/2026researchCastform claims 100x cheaper retrieval than GPT-5.6 Sol
Castform says its 4B open-source model, post-trained with RL, can retrieve search results as accurately as GPT-5.6 Sol while costing about 100x less. The company pairs its model training pipeline with Neon’s Lakebase Search and Postgres-based storage to support both training and inference.
- 4Hacker News·7/6/2026open_sourceWhy some teams can stay on Postgres
The article argues that many applications add Redis, Elasticsearch, Kafka, MongoDB, and other systems before proving Postgres is insufficient. It recommends using Postgres features such as JSONB, tsvector, SKIP LOCKED, pgvector, and PostGIS first, and adding specialized infrastructure only when the operational tradeoff is justified.