From 5dcbc5d3dea6ff71a4151b5ded91ee34c85416c8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Philipp=20Gill=C3=A9?= Date: Sat, 23 Mar 2024 22:20:36 +0100 Subject: [PATCH] Update README Mention Weaviate being embeddable in Python and JS/TS --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bf2e13a..9fd7bea 100644 --- a/README.md +++ b/README.md @@ -308,7 +308,7 @@ That's when I decided to build my own vector database, embeddable in Go, inspire - [Pinecone](https://www.pinecone.io/): Closed source - [Qdrant](https://github.com/qdrant/qdrant): Written in Rust - [Milvus](https://github.com/milvus-io/milvus): Written in Go and C++, but not embeddable as of December 2023 - - [Weaviate](https://github.com/weaviate/weaviate): Written in Go, but not embeddable as of December 2023 + - [Weaviate](https://github.com/weaviate/weaviate): Written in Go, but not embeddable in Go as of March 2024 (only in Python and JavaScript/TypeScript and that's experimental)) - Some non-specialized SQL, NoSQL and Key-Value databases added support for storing vectors and (some of them) querying based on similarity: - [pgvector](https://github.com/pgvector/pgvector) extension for [PostgreSQL](https://www.postgresql.org/): Client-server model - [Redis](https://github.com/redis/redis) ([1](https://redis.io/docs/interact/search-and-query/query/vector-search/), [2](https://redis.io/docs/interact/search-and-query/advanced-concepts/vectors/)): Client-server model