github/AutoGPT
1
1
Fork 0
mirror of https://github.com/Significant-Gravitas/AutoGPT.git synced 2026-01-10 07:38:04 -05:00
Code Issues Packages Projects Releases Wiki Activity

added weaviate embedded section in README

Browse Source
This commit is contained in:
cs0lar
2023-04-12 17:21:37 +01:00
parent f2a6ac5dc2
commit e3aea6d6c4
1 changed files with 5 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@@ -207,6 +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`.
#### Setting up enviornment variables
@@ -214,10 +215,13 @@ In your `.env` file set the following:
```
MEMORY_BACKEND=weaviate
WEAVIATE_HOST="http://127.0.0.1" # the URL of the running Weaviate instance
WEAVIATE_HOST="127.0.0.1" # the IP or domain of the running Weaviate instance
WEAVIATE_PORT="8080"
WEAVIATE_PROTOCOL="http"
WEAVIATE_USERNAME="your username"
WEAVIATE_PASSWORD="your password"
WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate" # this is optional and indicates where the data should be persisted when running an embedded instance
USE_WEAVIATE_EMBEDDED=False
MEMORY_INDEX="Autogpt" # name of the index to create for the application
```