Vector Stores

Vector stores contain embedding vectors of ingested document chunks (and sometimes the document chunks as well).

Simple Vector Store

By default, LlamaIndex uses a simple in-memory vector store that’s great for quick experimentation. They can be persisted to (and loaded from) disk by calling vector_store.persist() (and SimpleVectorStore.from_persist_path(...) respectively).

Third-Party Vector Store Integrations

We also integrate with a wide range of vector store implementations. They mainly differ in 2 aspects:

1. in-memory vs. hosted

2. stores only vector embeddings vs. also stores documents

In-Memory Vector Stores

• Faiss

• Chroma

(Self) Hosted Vector Stores

• Pinecone

• Weaviate

• Milvus/Zilliz

• Qdrant

• Chroma

• Opensearch

• DeepLake

• MyScale

Others

• ChatGPTRetrievalPlugin

For more details, see Vector Store Integrations.

Examples

• Simple Vector Store
• Qdrant Vector Store
• Faiss Vector Store
• DeepLake Vector Store
• MyScale Vector Store
• Metal Vector Store
• Weaviate Vector Store
• Using as a vector index.
• Pinecone Vector Store
• Chroma Vector Store
• LanceDB Vector Store
• Milvus Vector Store
• Weaviate Vector Store - Hybrid Search
• Pinecone Vector Store - Hybrid Search
• Simple Vector Store - Async Index Creation