#PostgreSQL #in-process with #vectorsearch extensions directly #embedded in your #Python app. #OpenSource Apache 2.0 lic
- Similarly search: #pgvector + #pgvectorscale, high-performance storage
- #FullText search: #pg_textsearch, #BM25 and #ranking
#AI #LLM #Embeddings #Agents #RAG
- Similarly search: #pgvector + #pgvectorscale, high-performance storage
- #FullText search: #pg_textsearch, #BM25 and #ranking
#AI #LLM #Embeddings #Agents #RAG
GitHub - Ladybug-Memory/pgembed: Embedded PostgreSQL for Agents
Embedded PostgreSQL for Agents. Contribute to Ladybug-Memory/pgembed development by creating an account on GitHub.
github.com
October 3, 2026 at 2:12 PM
#PostgreSQL #in-process with #vectorsearch extensions directly #embedded in your #Python app. #OpenSource Apache 2.0 lic
- Similarly search: #pgvector + #pgvectorscale, high-performance storage
- #FullText search: #pg_textsearch, #BM25 and #ranking
#AI #LLM #Embeddings #Agents #RAG
- Similarly search: #pgvector + #pgvectorscale, high-performance storage
- #FullText search: #pg_textsearch, #BM25 and #ranking
#AI #LLM #Embeddings #Agents #RAG
Agentic Postgres
- MCP server
- Nearly-zero cost database forks
- Hybrid vibe search (vector + BM25)
www.tigerdata.com/agentic-post...
- MCP server
- Nearly-zero cost database forks
- Hybrid vibe search (vector + BM25)
www.tigerdata.com/agentic-post...
Agentic Postgres: AI-Native Database with MCP, Search & Instant Forks | Tiger Data
PostgreSQL built for AI agents with native MCP servers, hybrid search (BM25 + pgvectorscale), and zero-copy forks for isolated testing. One database for all your AI workflows.
www.tigerdata.com
November 20, 2025 at 12:36 PM
Agentic Postgres
- MCP server
- Nearly-zero cost database forks
- Hybrid vibe search (vector + BM25)
www.tigerdata.com/agentic-post...
- MCP server
- Nearly-zero cost database forks
- Hybrid vibe search (vector + BM25)
www.tigerdata.com/agentic-post...
pgvectorscale changed how I think about search. Once the index fits in shared_buffers, latency drops to single-digit ms at scale. The catch is tuning work_mem per query, not globally, or you'll blow RAM fast.
October 3, 2026 at 2:23 PM
pgvectorscale changed how I think about search. Once the index fits in shared_buffers, latency drops to single-digit ms at scale. The catch is tuning work_mem per query, not globally, or you'll blow RAM fast.
My main stack 2025 has been JSDoc annotated JavaScript, Go and PostgreSQL, on macOS and Ubuntu. Notable other deps: Caddy, pgvectorscale, pgx, tern, sqlc, TailwindCSS, Hetzner and good old Ansible. Claude Code is rapidly becoming my main IDE, alongside VS Code. Really wanted to like Zed, but failed.
January 3, 2026 at 8:21 AM
My main stack 2025 has been JSDoc annotated JavaScript, Go and PostgreSQL, on macOS and Ubuntu. Notable other deps: Caddy, pgvectorscale, pgx, tern, sqlc, TailwindCSS, Hetzner and good old Ansible. Claude Code is rapidly becoming my main IDE, alongside VS Code. Really wanted to like Zed, but failed.
PGVECTOR VS QDRANT: You don’t need a specialized vector database for large scale. Postgres is all you need.
April 29, 2025 at 2:59 PM
PGVECTOR VS QDRANT: You don’t need a specialized vector database for large scale. Postgres is all you need.
Just rescaled a production Hetzner virtual server from Intel to AMD by accident and bricked Postgres. Could rescue by rebuilding pgvectorscale extension, though. Looking good so far. Phew. 😅
July 30, 2025 at 7:09 AM
Just rescaled a production Hetzner virtual server from Intel to AMD by accident and bricked Postgres. Could rescue by rebuilding pgvectorscale extension, though. Looking good so far. Phew. 😅
Boost your AI app's vector search! pgvectorscale works with pgvector to handle massive datasets and queries at impressive speed. Imagine your applications running smoothly. Explore pgvectorscale: https://github.com/timescale/pgvectorscale
December 30, 2025 at 4:19 PM
Boost your AI app's vector search! pgvectorscale works with pgvector to handle massive datasets and queries at impressive speed. Imagine your applications running smoothly. Explore pgvectorscale: https://github.com/timescale/pgvectorscale
timescale / pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads. ★1596 https://github.com/timescale/pgvectorscale
timescale / pgvectorscale
A complement to pgvector for high performance, cost efficient vector search on large workloads.
github.com
January 18, 2025 at 2:12 PM
timescale / pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads. ★1596 https://github.com/timescale/pgvectorscale
timescale / pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads. ★1249 https://github.com/timescale/pgvectorscale
timescale / pgvectorscale
A complement to pgvector for high performance, cost efficient vector search on large workloads.
github.com
October 31, 2024 at 7:39 PM
timescale / pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads. ★1249 https://github.com/timescale/pgvectorscale
#PostgreSQL all the way down, with pgvector and pgvectorscale extensions. Embedding is done in rounds, collecting 25 only English posts&profile texts by a mixed score of recency and text length, then averaging for the account embedding.
November 20, 2025 at 11:06 AM
#PostgreSQL all the way down, with pgvector and pgvectorscale extensions. Embedding is done in rounds, collecting 25 only English posts&profile texts by a mixed score of recency and text length, then averaging for the account embedding.
Christophe Pettus: On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar
https://postgr.es/p/9hd
#postgresql
https://postgr.es/p/9hd
#postgresql
April 30, 2026 at 10:31 PM
Christophe Pettus: On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar
https://postgr.es/p/9hd
#postgresql
https://postgr.es/p/9hd
#postgresql
<a href="https://www.publickey1.jp/blog/24/postgresqlaipgvectorscalepgvector.html" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">www.publickey1.jp/b...
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
PostgreSQLのマネージドサービスなどを提供しているTimescaleは、PostgreSQLで高速なベクトルデータベース機能を実現する拡張機能「Pgvectorcale」をオープンソースとして公開したことを発表しました。 大規模言語...
www.publickey1.jp
June 20, 2024 at 11:35 PM
<a href="https://www.publickey1.jp/blog/24/postgresqlaipgvectorscalepgvector.html" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">www.publickey1.jp/b...
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
Postgres extension complements pgvector for performance and scale | Discussion
GitHub - timescale/pgvectorscale: Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.
Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed. - timescale/pgvectorscale
github.com
December 30, 2025 at 4:00 PM
Postgres extension complements pgvector for performance and scale | Discussion
"#Pgvector vs. #Qdrant: Open-Source Vector #Database Comparison"
TL;DR pgvector is awesome
#OpenSource #VectorDatabase #PostgreSQL
www.timescale.com/blog/pgvecto...
TL;DR pgvector is awesome
#OpenSource #VectorDatabase #PostgreSQL
www.timescale.com/blog/pgvecto...
Pgvector vs. Qdrant: Open-Source Vector Database Comparison | Timescale
Looking for an open-source, high-performance vector database for large-scale workloads? We compare Qdrant vs. Postgres + pgvector + pgvectorscale.
www.timescale.com
May 3, 2025 at 8:13 PM
"#Pgvector vs. #Qdrant: Open-Source Vector #Database Comparison"
TL;DR pgvector is awesome
#OpenSource #VectorDatabase #PostgreSQL
www.timescale.com/blog/pgvecto...
TL;DR pgvector is awesome
#OpenSource #VectorDatabase #PostgreSQL
www.timescale.com/blog/pgvecto...
Postgres extension complements pgvector for performance and scale
#HackerNews
<a href="https://github.com/timescale/pgvectorscale" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://github.com/timescale/pgvectorscale
#HackerNews
<a href="https://github.com/timescale/pgvectorscale" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://github.com/timescale/pgvectorscale
December 30, 2025 at 4:08 PM
Postgres extension complements pgvector for performance and scale
#HackerNews
<a href="https://github.com/timescale/pgvectorscale" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://github.com/timescale/pgvectorscale
#HackerNews
<a href="https://github.com/timescale/pgvectorscale" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://github.com/timescale/pgvectorscale
pgvectorscale 0.9.1 hardens DiskANN against type confusion and malformed vector datums. Backend crash, memory disclosure and out-of-bounds write were all reachable.
github.com/timescale/pg...
pgexperts.com
#PostgreSQL #pgvector #RAG
github.com/timescale/pg...
pgexperts.com
#PostgreSQL #pgvector #RAG
Release 0.9.1 · timescale/pgvectorscale
What's Changed Security hardening (#280) This release hardens DiskANN against type confusion and malformed vector datums. Previously, the operator-class SQL referenced pgvector's vector type and op...
github.com
September 11, 2026 at 5:07 PM
pgvectorscale 0.9.1 hardens DiskANN against type confusion and malformed vector datums. Backend crash, memory disclosure and out-of-bounds write were all reachable.
github.com/timescale/pg...
pgexperts.com
#PostgreSQL #pgvector #RAG
github.com/timescale/pg...
pgexperts.com
#PostgreSQL #pgvector #RAG
While there are niche use cases that do benefit from a dedicated vector database like Qdrant, pgvector and pgvectorscale enables 99% of developers to start and scale confidently with just PostgreSQL.
April 29, 2025 at 2:59 PM
While there are niche use cases that do benefit from a dedicated vector database like Qdrant, pgvector and pgvectorscale enables 99% of developers to start and scale confidently with just PostgreSQL.
pgvectorscale augments pgvector with StreamingDiskANN, making larger-than-RAM vector indexes achievable in Postgres.
It also adds statistical binary quantization for improved search recall over regular quantization.
PlanetScale supports both. Try them today.
It also adds statistical binary quantization for improved search recall over regular quantization.
PlanetScale supports both. Try them today.
May 4, 2026 at 5:09 PM
pgvectorscale augments pgvector with StreamingDiskANN, making larger-than-RAM vector indexes achievable in Postgres.
It also adds statistical binary quantization for improved search recall over regular quantization.
PlanetScale supports both. Try them today.
It also adds statistical binary quantization for improved search recall over regular quantization.
PlanetScale supports both. Try them today.
AIアプリケーション用に改良が施されたpgvector代替。追加のインデックス実装などにより、pgvectorと比べて16〜28倍性能が良い場合があるらしい。Rust実装
GitHub - timescale/pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads.
Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed. - timescale/pgvectorscale
github.com
December 31, 2025 at 9:25 AM
AIアプリケーション用に改良が施されたpgvector代替。追加のインデックス実装などにより、pgvectorと比べて16〜28倍性能が良い場合があるらしい。Rust実装
1. Mainstream SQL (PostgreSQL)
2. New SQL (PostgreSQL w Citus, Hydra, pg_duckdb etc)
3. Document (PostgreSQL w Pongo, Ferretdb etc)
4. Vector (PostgreSQL w pgvector, pgvectorscale, pgai, pg_vectorize etc)
2. New SQL (PostgreSQL w Citus, Hydra, pg_duckdb etc)
3. Document (PostgreSQL w Pongo, Ferretdb etc)
4. Vector (PostgreSQL w pgvector, pgvectorscale, pgai, pg_vectorize etc)
I think you could get a bit more diverse than this though!
Pick one from each category:
1. Mainstream SQL (PostgreSQL, MySQL, SQLite)
2. New SQL (Cockroach, TiDB, Yugabyte, Oceanbase)
3. Document (Mongo, Elasticsearch, FaunaDB, Meilisearch, Quickwit, VictoriaLogs)
Pick one from each category:
1. Mainstream SQL (PostgreSQL, MySQL, SQLite)
2. New SQL (Cockroach, TiDB, Yugabyte, Oceanbase)
3. Document (Mongo, Elasticsearch, FaunaDB, Meilisearch, Quickwit, VictoriaLogs)
December 1, 2024 at 4:23 PM
1. Mainstream SQL (PostgreSQL)
2. New SQL (PostgreSQL w Citus, Hydra, pg_duckdb etc)
3. Document (PostgreSQL w Pongo, Ferretdb etc)
4. Vector (PostgreSQL w pgvector, pgvectorscale, pgai, pg_vectorize etc)
2. New SQL (PostgreSQL w Citus, Hydra, pg_duckdb etc)
3. Document (PostgreSQL w Pongo, Ferretdb etc)
4. Vector (PostgreSQL w pgvector, pgvectorscale, pgai, pg_vectorize etc)
Second: hybrid search, natively.
pgvectorscale (our improved fork) for semantic search - higher throughput, better recall, lower latency than pgvector.
pg_textsearch (new extension) implements BM25 for ranked keyword search. In-memory for now, disk-based segments with compression coming soon.
pgvectorscale (our improved fork) for semantic search - higher throughput, better recall, lower latency than pgvector.
pg_textsearch (new extension) implements BM25 for ranked keyword search. In-memory for now, disk-based segments with compression coming soon.
October 21, 2025 at 2:17 PM
Second: hybrid search, natively.
pgvectorscale (our improved fork) for semantic search - higher throughput, better recall, lower latency than pgvector.
pg_textsearch (new extension) implements BM25 for ranked keyword search. In-memory for now, disk-based segments with compression coming soon.
pgvectorscale (our improved fork) for semantic search - higher throughput, better recall, lower latency than pgvector.
pg_textsearch (new extension) implements BM25 for ranked keyword search. In-memory for now, disk-based segments with compression coming soon.
a yes, thanks - and there's also a sqlite-vec and sqlite-vector
this says better throughput: www.tigerdata.com/blog/pgvecto...
this goes into detail why it adds complexity
alex-jacobs.com/posts/the-ca...
this says better throughput: www.tigerdata.com/blog/pgvecto...
this goes into detail why it adds complexity
alex-jacobs.com/posts/the-ca...
Pgvector vs. Qdrant: Open-Source Vector Database Comparison
Looking for an open-source, high-performance vector database for large-scale workloads? We compare Qdrant vs. Postgres + pgvector + pgvectorscale.
www.tigerdata.com
December 29, 2025 at 8:44 PM
a yes, thanks - and there's also a sqlite-vec and sqlite-vector
this says better throughput: www.tigerdata.com/blog/pgvecto...
this goes into detail why it adds complexity
alex-jacobs.com/posts/the-ca...
this says better throughput: www.tigerdata.com/blog/pgvecto...
this goes into detail why it adds complexity
alex-jacobs.com/posts/the-ca...
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
https://www.publickey1.jp/blog/24/postgresqlaipgvectorscalepgvector.html
https://www.publickey1.jp/blog/24/postgresqlaipgvectorscalepgvector.html
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
PostgreSQLのマネージドサービスなどを提供しているTimescaleは、PostgreSQLで高速なベクトルデータベース機能を実現する拡張機能「Pgvectorcale」をオープンソースとして公開したことを発表しました。 大規模言語...
www.publickey1.jp
June 20, 2024 at 9:33 PM
PostgreSQLを生成AIの情報源として使える高速ベクトルデータベース化拡張「Pgvectorscale」がオープンソースで公開。Pgvectorをさらに高性能化
https://www.publickey1.jp/blog/24/postgresqlaipgvectorscalepgvector.html
https://www.publickey1.jp/blog/24/postgresqlaipgvectorscalepgvector.html