langchain/libs/community/langchain_community/vectorstores/redis/constants.py

from typing import Any, Dict, List

import numpy as np

# required modules
REDIS_REQUIRED_MODULES = [
    {"name": "search", "ver": 20600},
    {"name": "searchlight", "ver": 20600},
]

# distance metrics
REDIS_DISTANCE_METRICS: List[str] = ["COSINE", "IP", "L2"]

# supported vector datatypes
REDIS_VECTOR_DTYPE_MAP: Dict[str, Any] = {
    "FLOAT32": np.float32,
    "FLOAT64": np.float64,
}

REDIS_TAG_SEPARATOR = ","
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes 10 months ago			`from typing import Any, Dict, List`

			`import numpy as np`

			`# required modules`
			`REDIS_REQUIRED_MODULES = [`
			`{"name": "search", "ver": 20600},`
			`{"name": "searchlight", "ver": 20600},`
			`]`

			`# distance metrics`
			`REDIS_DISTANCE_METRICS: List[str] = ["COSINE", "IP", "L2"]`

			`# supported vector datatypes`
			`REDIS_VECTOR_DTYPE_MAP: Dict[str, Any] = {`
			`"FLOAT32": np.float32,`
			`"FLOAT64": np.float64,`
			`}`

			`REDIS_TAG_SEPARATOR = ","`