JDSS/mem0
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fixed s3 vectors memory initialization issue from configuration (#3481)

Browse Source
This commit is contained in:
Abdullah Irfan
2025-09-20 12:13:18 +05:00
committed by GitHub
parent ead210ffe4
commit 9df392b26a
4 changed files with 94 additions and 38 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/components/vectordbs/dbs/s3_vectors.mdx
+17 -17
View File
@@ -28,7 +28,7 @@ config = {
"provider": "s3_vectors",
"config": {
"vector_bucket_name": "my-mem0-vector-bucket",
"index_name": "my-memories-index",
"collection_name": "my-memories-index",
"embedding_model_dims": 1536,
"distance_metric": "cosine",
"region_name": "us-east-1"
@@ -50,13 +50,13 @@ m.add(messages, user_id="alice", metadata={"category": "movies"})
Here are the available parameters for the `s3_vectors` config:
| Parameter | Description | Default Value |
| ---------------------- | -------------------------------------------------------------------- | ------------- |
| `vector_bucket_name` | The name of the S3 Vector bucket to use. It will be created if it doesn't exist. | Required |
| `index_name` | The name of the vector index within the bucket. | `mem0` |
| `embedding_model_dims` | Dimensions of the embedding model. Must match your embedder. | `1536` |
| `distance_metric` | Distance metric for similarity search. Options: `cosine`, `euclidean`. | `cosine` |
| `region_name` | The AWS region where the bucket and index reside. | `None` (uses default from AWS config) |
| Parameter | Description | Default Value |
| ---------------------- | -------------------------------------------------------------------------------- | ------------------------------------- |
| `vector_bucket_name` | The name of the S3 Vector bucket to use. It will be created if it doesn't exist. | Required |
| `collection_name` | The name of the vector index within the bucket. | `mem0` |
| `embedding_model_dims` | Dimensions of the embedding model. Must match your embedder. | `1536` |
| `distance_metric` | Distance metric for similarity search. Options: `cosine`, `euclidean`. | `cosine` |
| `region_name` | The AWS region where the bucket and index reside. | `None` (uses default from AWS config) |
### IAM Permissions
@@ -64,15 +64,15 @@ Your AWS identity (user or role) needs permissions to perform actions on S3 Vect
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "s3vectors:*",
"Resource": "*"
}
]
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "s3vectors:*",
"Resource": "*"
}
]
}
```
For production, it is recommended to scope down the resource ARN to your specific buckets and indexes.
For production, it is recommended to scope down the resource ARN to your specific buckets and indexes.