Issue on docs

[kimyounkyung01]

Path: /redis/troubleshooting/command_count_increases_unexpectedly

from langchain_aws import ChatBedrock
from langchain.globals import set_llm_cache
from langchain_community.cache import InMemoryCache
from langchain_community.cache import RedisSemanticCache
from langchain_openai import OpenAIEmbeddings

from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings

from langchain_community.embeddings import FakeEmbeddings

import langchain
from langchain_community.cache import UpstashRedisCache
from upstash_redis import Redis
from langchain.globals import set_llm_cache
from upstash_semantic_cache import SemanticCache
from upstash_redis import Redis

UPSTASH_VECTOR_REST_URL = "<rest_url>"
UPSTASH_VECTOR_REST_TOKEN = "<rest_token>"

cache = SemanticCache(
url=UPSTASH_VECTOR_REST_URL, token=UPSTASH_VECTOR_REST_TOKEN, min_proximity=0.7
)

set_llm_cache(cache)

llm = ChatBedrock(
model_id="anthropic.claude-3-sonnet-20240229-v1:0",
model_kwargs=dict(temperature=0),
# other params...
)

ai_msg = llm.invoke("Which city has the highest population in the USA?")
print(ai_msg)

ERROR :
Traceback (most recent call last):
File "/home/ec2-user/chatbedrock_redis.py", line 38, in
ai_msg = llm.invoke("Which city has the highest population in the USA?")
File "/home/ec2-user/.local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 277, in invoke
self.generate_prompt(
File "/home/ec2-user/.local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 777, in generate_prompt
return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
File "/home/ec2-user/.local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 634, in generate
raise e
File "/home/ec2-user/.local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 624, in generate
self._generate_with_cache(
File "/home/ec2-user/.local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 810, in _generate_with_cache
cache_val = llm_cache.lookup(prompt, llm_string)
File "/home/ec2-user/.local/lib/python3.9/site-packages/upstash_semantic_cache/semantic_cache.py", line 65, in lookup
result = self.get(prompt)
File "/home/ec2-user/.local/lib/python3.9/site-packages/upstash_semantic_cache/semantic_cache.py", line 45, in get
response = self._query_key(key)
File "/home/ec2-user/.local/lib/python3.9/site-packages/upstash_semantic_cache/semantic_cache.py", line 146, in _query_key
response = self.index.query(
File "/home/ec2-user/.local/lib/python3.9/site-packages/upstash_vector/core/index_operations.py", line 200, in query
for obj in self._execute_request(
File "/home/ec2-user/.local/lib/python3.9/site-packages/upstash_vector/client.py", line 42, in _execute_request
return execute_with_parameters(
File "/home/ec2-user/.local/lib/python3.9/site-packages/upstash_vector/http.py", line 57, in execute_with_parameters
raise UpstashError(response["error"])
upstash_vector.errors.UpstashError: ERR Command is not available: 'QUERY-DATA'. See https://upstash.com/docs/redis/overall/rediscompatibility for details

issue :
I use uptash redis cache for langchain cache function on aws server. Among them, I am trying to use a sematic cache, and I wrote it according to the sample code, but this error occurs.
What error is this? thank you

[CahidArda]

Hi @kimyounkyung01,

It looks like you entered the credentials of your databases incorrectly. The vector sdk tried to make a request to an Upstash redis server.

Can you make sure that UPSTASH_VECTOR_REST_URL and UPSTASH_VECTOR_REST_TOKEN credentials are from an Upstash vector store instead of a redis database?