<?xml version="1.0" encoding="UTF-8"?>
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    <title>vector</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/137/feed"/>
    <updated>2026-04-19T06:48:53+00:00</updated>
    <id>https://links.biapy.com/guest/tags/137/feed</id>
            <entry>
            <id>https://links.biapy.com/links/10771</id>
            <title type="text"><![CDATA[JAX]]></title>
            <link rel="alternate" href="https://docs.jax.dev/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10771"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High performance array computing.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.
JAX provides a familiar NumPy-style API for ease of adoption by researchers and engineers.

- [JAX @ GitHub](https://github.com/jax-ml/jax).

Related contents:

- [How the jax.jit() JIT compiler works in jax-js @ eric makes software](https://ekzhang.substack.com/p/how-the-jaxjit-jit-compiler-works).
- [192 Weeks @ Eric Zhang](https://notes.ekzhang.com/reflections/192-weeks).]]>
            </summary>
            <updated>2025-10-27T13:18:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/45</id>
            <title type="text"><![CDATA[turbopuffer]]></title>
            <link rel="alternate" href="https://turbopuffer.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/45"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[search every byte.

serverless vector and full-text search built from first principles on object storage: fast, 10x cheaper, and extremely scalable.

Related contents:

- [Embedding Millions of Text Documents With Qwen3 @ daft](https://www.daft.ai/blog/embedding-millions-of-text-documents-with-qwen3).]]>
            </summary>
            <updated>2025-09-04T08:33:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/697</id>
            <title type="text"><![CDATA[HelixDB]]></title>
            <link rel="alternate" href="https://www.helix-db.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/697"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Native Graph-Vector Database.

HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI. 

- [HelixDB @ GitHub](https://github.com/HelixDB/helix-db/).]]>
            </summary>
            <updated>2025-08-28T17:54:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1158</id>
            <title type="text"><![CDATA[pgvector]]></title>
            <link rel="alternate" href="https://github.com/pgvector/pgvector" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1158"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source vector similarity search for Postgres.

Related contents:

- [Sharding pgvector @ PgDog](https://pgdog.dev/blog/sharding-pgvector).
- [The Case Against pgvector @ Alex Jacobs](https://alex-jacobs.com/posts/the-case-against-pgvector/).]]>
            </summary>
            <updated>2025-11-04T12:50:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1339</id>
            <title type="text"><![CDATA[pg_mooncake]]></title>
            <link rel="alternate" href="https://github.com/Mooncake-Labs/pg_mooncake" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1339"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[1000x Faster Analytics in Postgres.  Postgres-native Data Warehouse.

pg_mooncake is a Postgres extension that adds columnar storage and vectorized execution (DuckDB) for fast analytics within Postgres. Postgres + pg_mooncake ranks among the top 10 fastest in ClickBench.

Related contents:

- [Postgres Is the Gateway Drug @  Vignesh Ravichandran](https://viggy28.dev/article/postgres-gateway-drug/).]]>
            </summary>
            <updated>2026-03-23T16:35:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1664</id>
            <title type="text"><![CDATA[Redis Vector Library (RedisVL)]]></title>
            <link rel="alternate" href="https://docs.redisvl.com/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1664"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful, AI-native Python client library for Redis. Leverage the speed, flexibility, and reliability of Redis for real-time data to supercharge your AI application.

- [RedisVL @ GitHub](https://github.com/redis/redis-vl-python).

Related contents:

- [You need more than a vector database @ Redis](https://redis.io/blog/you-need-more-than-a-vector-database/).]]>
            </summary>
            <updated>2025-08-28T20:33:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3855</id>
            <title type="text"><![CDATA[sqlite-vec]]></title>
            <link rel="alternate" href="https://github.com/asg017/sqlite-vec" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3855"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A vector search SQLite extension that runs anywhere!

- [Veille de la semaine du 5 août 2024 @ Veille de la semaine&amp;#039;s Substack :fr:](https://guikingone.substack.com/p/veille-de-la-semaine-du-5-aout-2024).
- [sqlite-vec now supports metadata columns and filtering @ Alex Garcia&amp;#039;s Blog](https://alexgarcia.xyz/blog/2024/sqlite-vec-metadata-release/index.html).]]>
            </summary>
            <updated>2025-08-29T02:39:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4516</id>
            <title type="text"><![CDATA[Highway]]></title>
            <link rel="alternate" href="https://github.com/google/highway" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4516"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Performance-portable, length-agnostic SIMD with runtime dispatch. Highway is a C++ library that provides portable SIMD/vector intrinsics.]]>
            </summary>
            <updated>2025-08-29T04:30:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4609</id>
            <title type="text"><![CDATA[Paint Potion]]></title>
            <link rel="alternate" href="https://paint-potion.com" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4609"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create stunning vector illustrations in seconds. Create stylish &amp;amp; consistent vector illustrations in seconds

Just type a prompt and our AI will generate four unique vector illustrations that maintain a consistent style. Perfect for busy web agencies and creative individuals, it simplifies and speeds up your design process.]]>
            </summary>
            <updated>2025-08-29T04:44:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4766</id>
            <title type="text"><![CDATA[Vectorpea]]></title>
            <link rel="alternate" href="https://www.vectorpea.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4766"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Online Vector Editor.]]>
            </summary>
            <updated>2025-08-29T05:11:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4787</id>
            <title type="text"><![CDATA[Graphite]]></title>
            <link rel="alternate" href="https://graphite.rs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4787"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Web-based vector graphics editor and design tool.

Graphite is an in-development raster and vector graphics package that&amp;#039;s free and open source. It is powered by a node graph compositing engine that fuses layers with nodes, providing a fully nondestructive editing experience.

- [Graphite Editor](https://editor.graphite.rs/).
- [Graphite @ GitHub](https://github.com/GraphiteEditor/Graphite).
- [An Open Source Web-Based AI-Powered Vector Graphics Editor: Wait, What? 🤯 @ It&amp;#039;s FOSS News](https://news.itsfoss.com/graphite/).
- [Graphite – l’éditeur graphique open source qui va bousculer la création graphique @ Korben :fr:](https://korben.info/graphite-revolutionnaire-appli-open-source-logiciel-retouche-photo-dessin-vectoriel.html).]]>
            </summary>
            <updated>2025-08-29T05:15:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4827</id>
            <title type="text"><![CDATA[Lantern]]></title>
            <link rel="alternate" href="https://lantern.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4827"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The most powerful vector database for building AI applications. Open-source PostgreSQL database extension for vector data and vector search operations.

Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.

- [Lantern @ GitHub](https://github.com/lanterndata/lantern).]]>
            </summary>
            <updated>2025-08-29T05:21:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5263</id>
            <title type="text"><![CDATA[Vectorizer.AI]]></title>
            <link rel="alternate" href="https://vectorizer.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5263"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Trace Pixels To Vectors in Full Color, Fully Automatically, Using AI.

Convert your JPEG and PNG bitmaps to SVG vectors quickly and easily. Fully Automatically. Using AI.]]>
            </summary>
            <updated>2025-08-29T06:35:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5387</id>
            <title type="text"><![CDATA[Milvus]]></title>
            <link rel="alternate" href="https://milvus.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5387"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.

- [Milvus @ GitHub](https://github.com/milvus-io/milvus).

Related contents:

- [RAG Against The Machine @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-153-veille?open=false#%C2%A7rag-against-the-machine).]]>
            </summary>
            <updated>2025-10-29T13:14:35+00:00</updated>
        </entry>
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