from_schema

Example:

from redisvl.schema import IndexSchema
from langchain_redis import RedisConfig

schema = IndexSchema.from_dict({
    "index": {"name": "my_index", "storage_type": "hash"},
    "fields": [
        {"name": "text", "type": "text"},
        {
            "name": "embedding",
            "type": "vector",
            "attrs": {"dims": 1536, "distance_metric": "cosine"}
        }
    ]
})

config = RedisConfig.from_schema(
    schema,
    redis_url="redis://localhost:6379"
)

print(config.index_name)  # Output: my_index
print(config.storage_type)  # Output: hash

Note:

• The method extracts index name, key prefix, and storage type from the schema.
• If the schema specifies a vector field, its attributes (like dimensions and distance metric) are used.
• Additional kwargs can override settings derived from the schema.
• This method is useful when you have a pre-defined index structure and want to create a matching config.
• The resulting config can be used to ensure that a RedisVectorStore matches an existing index structure.