From 67b84b58115df6e2dfa52eb6c6a400c60b50eeda Mon Sep 17 00:00:00 2001 From: cs0lar Date: Wed, 12 Apr 2023 17:54:59 +0100 Subject: [PATCH] added client install --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9959f55d..9f71ceaa 100644 --- a/README.md +++ b/README.md @@ -207,7 +207,7 @@ export PINECONE_ENV="Your pinecone region" # something like: us-east4-gcp ## Weaviate Setup [Weaviate](https://weaviate.io/) is an open-source vector database. It allows to store data objects and vector embeddings from ML-models and scales seamlessly to billion of data objects. [An instance of Weaviate can be created locally (using Docker), on Kubernetes or using Weaviate Cloud Services](https://weaviate.io/developers/weaviate/quickstart). -Although still experimental, [Embedded Weaviate](https://weaviate.io/developers/weaviate/installation/embedded) is supported which allows the Auto-GPT process itself to start a Weaviate instance. To enable it, set `USE_WEAVIATE_EMBEDDED` to `True`. +Although still experimental, [Embedded Weaviate](https://weaviate.io/developers/weaviate/installation/embedded) is supported which allows the Auto-GPT process itself to start a Weaviate instance. To enable it, set `USE_WEAVIATE_EMBEDDED` to `True` and make sure you `pip install "weaviate-client>=3.15.4`. #### Setting up enviornment variables