Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1s1iNR-00EIi1-B9 for pgsql-announce@arkaria.postgresql.org; Tue, 30 Apr 2024 07:58:13 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1s1iNO-004dA5-KO for pgsql-announce@arkaria.postgresql.org; Tue, 30 Apr 2024 07:58:11 +0000 Received: from makus.postgresql.org ([2001:4800:3e1:1::229]) by malur.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1s1iNN-004d9h-GB for pgsql-announce@lists.postgresql.org; Tue, 30 Apr 2024 07:58:10 +0000 Received: from mahout.postgresql.org ([2001:4800:3e1:1::227]) by makus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1s1iNL-000jvz-AL for pgsql-announce@lists.postgresql.org; Tue, 30 Apr 2024 07:58:09 +0000 DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=relaxed/relaxed; d=postgresql.org; s=20171124; h=Message-ID:Date:Reply-To:From:To:Subject: MIME-Version:Content-Type:Sender:Cc:Content-Transfer-Encoding:Content-ID: Content-Description:In-Reply-To:References; bh=lMDqv5EI9r4MksWl/LMAoR5qdEeJNNNqfBomlQ6flLk=; b=3GBIKfc+9W2+TNG3k1nyiGncjh Vz6Ijml5hB/qeGZkhp5T4BB1IsdMLMs7/EI7G2q1h5demUlnQso6PhG/THOKMY3fZYnnaVetoCDQH 78Skmyk8/Tn1fcaW5Iob2yFX/vtcWfDfNpyLW2ctUz9mkvsYzIjsVsnvTn9KGZ+Q8KPjeyO8ElDiZ ymJmKJ7o3lbSm5aVc5N0iDsExpPowF/WlWFNpVA3OuTQ1t13lWYPQJyTzcsK2Kx4slwCQCLY7j4o0 Q+tnzjtMYkHQ5QmbWDWwkmcYlL1HKcuYSIyIJbc60zCEbC+ybgLd1JaMCZ1GgraA9rsFtpezAFnfu j3IQI9ag==; Received: from wrigleys.postgresql.org ([217.196.149.60]) by mahout.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1s1iNJ-002MIi-G6 for pgsql-announce@lists.postgresql.org; Tue, 30 Apr 2024 07:58:06 +0000 Received: from localhost ([127.0.0.1] helo=wrigleys.postgresql.org) by wrigleys.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1s1iNG-006rOH-6d for pgsql-announce@lists.postgresql.org; Tue, 30 Apr 2024 07:58:03 +0000 Content-Type: multipart/mixed; boundary="===============3645076160440591124==" MIME-Version: 1.0 Subject: pgvector 0.7.0 Released! To: PostgreSQL Announce From: pgvector via PostgreSQL Announce Reply-To: announce@pgvector.org Date: Tue, 30 Apr 2024 07:58:00 +0000 Message-ID: <171446388084.707.10085496804414536429@wrigleys.postgresql.org> X-Auto-Response-Suppress: All Auto-Submitted: auto-generated X-pglister-tags: related X-pglister-tagsig: da7b7beb90fd00e67e8695bc8cc4b139e779d8e1da03c2405c946e1fc4ad4f67 List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk --===============3645076160440591124== Content-Type: multipart/alternative; boundary="===============8750552160737100253==" MIME-Version: 1.0 --===============8750552160737100253== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable [pgvector](https://github.com/pgvector/pgvector/), an open-source PostgreSQ= L extension that provides vector similarity search capabilities, has releas= ed [v0.7.0](https://github.com/pgvector/pgvector/releases/tag/v0.7.0). This= new release includes many new functional and performance features for supp= orting vector similarity search workloads in PostgreSQL. This latest version of pgvector adds new vector types, including `halfvec` = (2-byte floats; indexing up to 4,000 dimensions) and `sparsevec` (indexing = up to 1,000 nonzero dimensions), and includes indexing support for binary v= ectors using the `bit` type (indexing up to 64,000 dimensions). Additionall= y, this release adds support for quantizing vectors using expression indexe= s, including from 4-byte to 2-byte floats and binary quantization using `bi= nary_quantize` function. pgvector 0.7.0 also adds new distance functions, i= ncluding `hamming_distance` and `jaccard_distance` for `bit` vectors, and n= ow supports HNSW indexing for L1 distance operations. pgvector 0.7.0 also i= ncludes additional support for SIMD with CPU dispatching for Linux x86-64 a= rchitectures. For more information, please see the [CHANGELOG for 0.7.0](https://github.c= om/pgvector/pgvector/blob/master/CHANGELOG.md#070-2024-04-29): [https://github.com/pgvector/pgvector/blob/master/CHANGELOG.md#070-2024-04-= 29](https://github.com/pgvector/pgvector/blob/master/CHANGELOG.md#070-2024-= 04-29) For more information about pgvector, including how to get started, please v= isit the [project repository on GitHub](https://github.com/pgvector/pgvecto= r): [https://github.com/pgvector/pgvector](https://github.com/pgvector/pgvector) --===============8750552160737100253== Content-Type: text/html; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable pgvector 0.7.0 Released!
 

pgvector 0.7.0 Released!

pgvector, a= n open-source PostgreSQL extension that provides vector similarity search c= apabilities, has released v0= .7.0. This new release includes many new functional and performance fea= tures for supporting vector similarity search workloads in PostgreSQL.

This latest version of pgvector adds new ve= ctor types, including halfvec (2-byte floats; indexing up to 4= ,000 dimensions) and sparsevec (indexing up to 1,000 nonzero d= imensions), and includes indexing support for binary vectors using the bit type (indexing up to 64,000 dimensions). Additionally, this re= lease adds support for quantizing vectors using expression indexes, includi= ng from 4-byte to 2-byte floats and binary quantization using binary_= quantize function. pgvector 0.7.0 also adds new distance functions, = including hamming_distance and jaccard_distance f= or bit vectors, and now supports HNSW indexing for L1 distance= operations. pgvector 0.7.0 also includes additional support for SIMD with = CPU dispatching for Linux x86-64 architectures.

For more information, please see the CHANGELOG for = 0.7.0:

https://github.com/pgvector/pgvector/blob/master/CH= ANGELOG.md#070-2024-04-29

For more information about pgvector, includ= ing how to get started, please visit the project= repository on GitHub:

https://github.c= om/pgvector/pgvector
This email was sent to you from pgvector. It was delivered on their behalf = by the PostgreSQL project. Any questions about the content of the message shou= ld be sent to pgvector.

You were sent this email as a subscriber of the pgsql-announce mai= linglist, for the content tag Related Open Source. To unsubscribe from further emails, or change which emails you want to receive, please click th= e personal unsubscribe link that you can find in the headers of this email, or visit https://lists.postgresql.org/unsubscribe/.
 
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