向量存储(Vector Stores)
快速开始
选择嵌入模型:openai
pip install -qU langchain-openai
import getpass
import os
if not os.environ.get("OPENAI_API_KEY"):
os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter API key for OpenAI: ")
from langchain_openai import OpenAIEmbeddings
embeddings = OpenAIEmbeddings(model="text-embedding-3-large")
选择向量存储:InMemory
pip install -qU langchain-core
from langchain_core.vectorstores import InMemoryVectorStore
vector_store = InMemoryVectorStore(embeddings)
向量存储服务
向量存储 | 按ID删除 | 过滤功能 | 向量搜索 | 带分数搜索 | 异步支持 | 通过标准测试 | 多租户 | 添加文档时支持ID |
---|---|---|---|---|---|---|---|---|
AstraDB | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
Chroma | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
Clickhouse | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ |
Couchbase | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
DatabricksVectorSearch | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
ElasticsearchStore | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
FAISS | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
InMemoryVectorStore | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ |
Milvus | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
MongoDBAtlasVectorSearch | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
openGauss | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ✅ |
PGVector | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
PGVectorStore | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
PineconeVectorStore | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ |
QdrantVectorStore | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
Redis | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
Weaviate | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
SQLServer | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
dd
作者:Jeebiz 创建时间:2025-10-19 00:12
最后编辑:Jeebiz 更新时间:2025-10-19 12:18
最后编辑:Jeebiz 更新时间:2025-10-19 12:18