Redis failed to connect

[cyai]

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Example Code

from langchain_community.vectorstores.redis import Redis
docsearch = Redis.from_texts(
            texts,
            embeddings,
            index_name="product-knowledge-base",
            redis_url=os.getenv("REDIS_URL"), # "redis://localhost:6379"
        )

Description

• I am trying to ue Redis as a vector database but I am hitting with the error:
  ERROR Redis cannot be used as a vector database without RediSearch >=2.4Please head to https://redis.io/docs/stack/search/quick_start/to know more about installing the RediSearch module within Redis Stack.

• docker-compose.yaml:

version: "3"
services:
    redis:
        image: redis/redis-stack-server:latest
        ports:
            - "6379:6379"

• MODULE LIST:

1) 1) "name"
   2) "search"
   3) "ver"
   4) (integer) 21003
   5) "path"
   6) "/opt/redis-stack/lib/redisearch.so"
   7) "args"
   8) 1) "MAXSEARCHRESULTS"
      2) "10000"
      3) "MAXAGGREGATERESULTS"
      4) "10000"
2) 1) "name"
   2) "ReJSON"
   3) "ver"
   4) (integer) 20802
   5) "path"
   6) "/opt/redis-stack/lib/rejson.so"
   7) "args"
   8) (empty array)
3) 1) "name"
   2) "redisgears_2"
   3) "ver"
   4) (integer) 20020
   5) "path"
   6) "/opt/redis-stack/lib/redisgears.so"
   7) "args"
   8) 1) "v8-plugin-path"
      2) "/opt/redis-stack/lib/libredisgears_v8_plugin.so"
4) 1) "name"
   2) "RedisCompat"
   3) "ver"
   4) (integer) 1
   5) "path"
   6) "/opt/redis-stack/lib/rediscompat.so"
   7) "args"
   8) (empty array)
5) 1) "name"
   2) "timeseries"
   3) "ver"
   4) (integer) 11201
   5) "path"
   6) "/opt/redis-stack/lib/redistimeseries.so"
   7) "args"
   8) (empty array)
6) 1) "name"
   2) "bf"
   3) "ver"
   4) (integer) 20801
   5) "path"
   6) "/opt/redis-stack/lib/redisbloom.so"
   7) "args"
   8) (empty array)

System Info

System Information

OS: Darwin
OS Version: Darwin Kernel Version 23.5.0: Wed May 1 20:16:51 PDT 2024; root:xnu-10063.121.3~5/RELEASE_ARM64_T8103
Python Version: 3.12.4 (main, Jun 6 2024, 18:26:44) [Clang 15.0.0 (clang-1500.3.9.4)]

Package Information

langchain_core: 0.1.52
langchain: 0.1.16
langchain_community: 0.0.34
langsmith: 0.1.68
langchain_cohere: 0.1.4
langchain_fireworks: 0.1.3
langchain_groq: 0.1.4
langchain_huggingface: 0.0.3
langchain_openai: 0.1.3
langchain_redis: 0.0.2
langchain_text_splitters: 0.0.1

[dosubot[bot]]

I found similar issues that might help you resolve the error "Redis cannot be used as a vector database without RediSearch >=2.4":

1. Open Issue: [BUG]ValueError: Redis failed to connect: Redis cannot be used as a vector database without RediSearch >=2.4

   • Solution: Ensure you have the RediSearch module installed within your Redis setup. Follow the steps to install Redis Stack and verify the RediSearch installation.

2. Closed Issue: ValueError: Redis failed to connect: You must add the RediSearch (>= 2.4) module from Redis Stack

   • Solution: Use the redis/redis-stack-server:latest Docker image instead of the redis image. Update your docker-compose.yaml as follows:

     version: "3"
     services:
       redis:
         image: redis/redis-stack-server:latest
         ports:
           - "6379:6379"

3. Closed Issue: ValueError: Redis failed to connect

   • Solution: Ensure you are using the Redis Stack Docker image and verify the RediSearch module is installed.

Your docker-compose.yaml and MODULE LIST indicate that you are using the correct Docker image and have the RediSearch module installed. However, the version of RediSearch is 2.10.3, which should be compatible.

To resolve the issue, you can try the following steps:

1. Verify Module Version: Ensure that the RediSearch module version is correctly recognized. Connect to your Redis instance and run:

   docker exec -it <container_id> redis-cli MODULE LIST

2. Update Redis URL: Ensure that your redis_url in the RedisSemanticCache points to the Redis Stack instance where RediSearch is installed.

3. Check for Updates: Ensure that all your packages are up to date, especially langchain and redis.

By following these steps, you should be able to resolve the connection issue and use Redis as a vector database with LangChain ^[1][2][3].

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