Modern HTAP PostgreSQL extension for sharding, time-series, columnar analytics, tiered storage, and vector workloads.
pgext.cloud · Source code · Documentation · Control file
| Package | orochi |
|---|---|
| Version | 1.0 |
| PostgreSQL versions | 16 · 17 · 18 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | No |
| Schema | orochi |
| Stars | 0 |
| Latest commit | 2026-02-22 |
| Catalogue updated | 2026-08-30 |
| pgcontext | Vector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables. |
| vector | vector data type and ivfflat and hnsw access methods |
| timescaledb | Enables scalable inserts and complex queries for time-series data |
| vectorize | The simplest way to do vector search on Postgres |
| gp_sparse_vector | Sparse vector implementation for Greenplum-family databases. |
| pg_hybrid | hybrid storage engine: columnar, vector, fulltext |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |
| imcs | In-Memory Columnar Store extension for PostgreSQL. |
| pg_bestmatch | Generate BM25 sparse vector inside PostgreSQL |
| pipelinedb | Run continuous SQL queries for high-throughput incremental time-series aggregation in PostgreSQL |