Kartik
54 lines
3.6 KiB
Plaintext
54 lines
3.6 KiB
Plaintext
---
|
|
title: Overview
|
|
description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, and more."
|
|
---
|
|
|
|
Mem0 includes built-in support for various popular databases. Memory can utilize the database provided by the user, ensuring efficient use for specific needs.
|
|
|
|
## Supported Vector Databases
|
|
|
|
See the list of supported vector databases below.
|
|
|
|
<Note>
|
|
The following vector databases are supported in the Python implementation. The TypeScript implementation currently supports Qdrant, Redis, PGVector, Supabase, LangChain, Azure AI Search, Vectorize, and an in-memory store.
|
|
</Note>
|
|
|
|
<CardGroup cols={3}>
|
|
<Card title="Qdrant" icon="/images/provider-icons/qdrant.svg" href="/components/vectordbs/dbs/qdrant"></Card>
|
|
<Card title="Chroma" icon="/images/provider-icons/chroma.svg" href="/components/vectordbs/dbs/chroma"></Card>
|
|
<Card title="PGVector" icon="/images/provider-icons/postgresql.svg" href="/components/vectordbs/dbs/pgvector"></Card>
|
|
<Card title="Upstash Vector" icon="/images/provider-icons/upstash.svg" href="/components/vectordbs/dbs/upstash-vector"></Card>
|
|
<Card title="Milvus" icon="/images/provider-icons/milvus.svg" href="/components/vectordbs/dbs/milvus"></Card>
|
|
<Card title="Pinecone" icon="/images/provider-icons/pinecone.svg" href="/components/vectordbs/dbs/pinecone"></Card>
|
|
<Card title="MongoDB" icon="/images/provider-icons/mongodb.svg" href="/components/vectordbs/dbs/mongodb"></Card>
|
|
<Card title="Azure" icon="/images/provider-icons/azure-color.svg" href="/components/vectordbs/dbs/azure"></Card>
|
|
<Card title="Redis" icon="/images/provider-icons/redis.svg" href="/components/vectordbs/dbs/redis"></Card>
|
|
<Card title="Valkey" icon="/images/provider-icons/valkey.svg" href="/components/vectordbs/dbs/valkey"></Card>
|
|
<Card title="Elasticsearch" icon="/images/provider-icons/elasticsearch.svg" href="/components/vectordbs/dbs/elasticsearch"></Card>
|
|
<Card title="OpenSearch" icon="/images/provider-icons/opensearch.svg" href="/components/vectordbs/dbs/opensearch"></Card>
|
|
<Card title="Supabase" icon="/images/provider-icons/supabase.svg" href="/components/vectordbs/dbs/supabase"></Card>
|
|
<Card title="Vertex AI" icon="/images/provider-icons/vertexai.svg" href="/components/vectordbs/dbs/vertex_ai"></Card>
|
|
<Card title="Weaviate" icon="circle-nodes" href="/components/vectordbs/dbs/weaviate"></Card>
|
|
<Card title="FAISS" icon="layer-group" href="/components/vectordbs/dbs/faiss"></Card>
|
|
<Card title="LangChain" icon="/images/provider-icons/langchain-color.svg" href="/components/vectordbs/dbs/langchain"></Card>
|
|
<Card title="Amazon S3 Vectors" icon="/images/provider-icons/aws-color.svg" href="/components/vectordbs/dbs/s3_vectors"></Card>
|
|
<Card title="Databricks" icon="/images/provider-icons/databricks.svg" href="/components/vectordbs/dbs/databricks"></Card>
|
|
<Card title="Turbopuffer" icon="/images/provider-icons/turbopuffer.svg" href="/components/vectordbs/dbs/turbopuffer"></Card>
|
|
</CardGroup>
|
|
|
|
## Usage
|
|
|
|
To utilize a vector database, you must provide a configuration to customize its usage. If no configuration is supplied, a default configuration will be applied, and `Qdrant` will be used as the vector database.
|
|
|
|
For a comprehensive list of available parameters for vector database configuration, please refer to [Config](./config).
|
|
|
|
## Common issues
|
|
|
|
### Using Model with Different Dimensions
|
|
|
|
If you are using a customized model with different dimensions other than 1536 (for example, 768), you may encounter the following error:
|
|
|
|
`ValueError: shapes (0,1536) and (768,) not aligned: 1536 (dim 1) != 768 (dim 0)`
|
|
|
|
You can add `"embedding_model_dims": 768,` to the config of the vector_store to resolve this issue.
|