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api: redisIssues related to the googleapis/langchain-google-memorystore-redis-python API.Issues related to the googleapis/langchain-google-memorystore-redis-python API.needs more infoThis issue needs more information from the customer to proceed.This issue needs more information from the customer to proceed.priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.type: questionRequest for information or clarification. Not an issue.Request for information or clarification. Not an issue.
Description
Hello!
I'm trying to use the GCP Memorystore instance on my Local Mac using port forwarding as mentioned in the documentation.
The problem is I want to use it for Vector search and after I connect it using python code I get error for using the RedisVectorStore
I tried installing the redis-stack on my local machine and it still doesn't work.
To Solve this problem I tried running Redis Stack locally using Docker, which includes RediSearch:
docker run -d -p 6379:6379 redis/redis-stack-serverEnvironment details
- OS type and version:
- Python version:
3.11.10 - pip version:
24.2 langchain-google-memorystore-redisversion:0.2.0
Steps to reproduce
- Creating the MemoryStore Instance and following the steps to connect to the local using Port Forwarding documentation.
- Download the vector_store.ipynb
- Run the Code shell in order to connect to the Redis Instance and Create the RedisVectorStore with the
index_config.
Code example
import redis
from langchain_google_memorystore_redis import RedisVectorStore
from langchain_google_memorystore_redis import (
DistanceStrategy,
HNSWConfig,
RedisVectorStore,
)
# Connect to a Memorystore for Redis instance
redis_client = redis.from_url("redis://127.0.0.1:6379")
# Configure HNSW index with descriptive parameters
index_config = HNSWConfig(
name="livekit-vectorstore", distance_strategy=DistanceStrategy.COSINE, vector_size=128
)
# Initialize/create the vector store index
RedisVectorStore.init_index(client=redis_client, index_config=index_config)Stack trace
---------------------------------------------------------------------------
ResponseError Traceback (most recent call last)
Cell In[23], [line 7](vscode-notebook-cell:?execution_count=23&line=7)
[2](vscode-notebook-cell:?execution_count=23&line=2) index_config = HNSWConfig(
[3](vscode-notebook-cell:?execution_count=23&line=3) name="livekit-vectorstore", distance_strategy=DistanceStrategy.COSINE, vector_size=128
[4](vscode-notebook-cell:?execution_count=23&line=4) )
[6](vscode-notebook-cell:?execution_count=23&line=6) # Initialize/create the vector store index
----> [7](vscode-notebook-cell:?execution_count=23&line=7) RedisVectorStore.init_index(client=redis_client, index_config=index_config)
File ~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:342, in RedisVectorStore.init_index(client, index_config)
[333](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:333) command = (
[334](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:334) f"FT.CREATE {index_config.name} ON HASH PREFIX 1 {RedisVectorStore.get_key_prefix(index_config.name)} "
[335](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:335) f"SCHEMA {index_config.field_name} VECTOR {index_config.type} "
(...)
[338](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:338) f"TYPE {index_config.data_type} "
[339](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:339) )
[341](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:341) try:
--> [342](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:342) client.execute_command(command)
[343](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:343) except redis.exceptions.ResponseError as e:
[344](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/langchain_google_memorystore_redis/vectorstore.py:344) if re.match(r"Redis module key \w+ already exists", str(e)):
File ~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/client.py:548, in Redis.execute_command(self, *args, **options)
[545](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/client.py:545) conn = self.connection or pool.get_connection(command_name, **options)
[547](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/client.py:547) try:
--> [548](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/client.py:548) return conn.retry.call_with_retry(
...
--> [536](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/connection.py:536) raise response
[537](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/connection.py:537) finally:
[538](https://file+.vscode-resource.vscode-cdn.net/Users/parshva/SoftmaxAI/Livekit_Redis/~/SoftmaxAI/Livekit_Redis/.conda/lib/python3.11/site-packages/redis/connection.py:538) del response # avoid creating ref cycles
ResponseError: unknown command 'FT.CREATE', with args beginning with: 'livekit-vectorstore' 'ON' 'HASH' 'PREFIX' '1' 'livekit-vectorstore' 'SCHEMA' 'vector' 'VECTOR' 'HNSW' '14' 'TYPE' 'FLOAT32' 'DIM'
Thanks!
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api: redisIssues related to the googleapis/langchain-google-memorystore-redis-python API.Issues related to the googleapis/langchain-google-memorystore-redis-python API.needs more infoThis issue needs more information from the customer to proceed.This issue needs more information from the customer to proceed.priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.type: questionRequest for information or clarification. Not an issue.Request for information or clarification. Not an issue.