Closed VpkPrasanna closed 11 months ago
🤖
Hello @VpkPrasanna,
Always good to see familiar faces here! I'm checking your issue right now and will get back to you with a detailed response shortly. Hang tight!
🤖
To deploy LangChain using Docker and connect it to Redis when using RedisChatMessageHistory, you would need to create a Dockerfile for your application, build a Docker image, and then run it. You would also need to run a Redis container and ensure that your application can connect to it.
Here is a basic example of how you might do this:
# Use an official Python runtime as a parent image
FROM python:3.8-slim-buster
# Set the working directory in the container to /app
WORKDIR /app
# Add the current directory contents into the container at /app
ADD . /app
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Make port 80 available to the world outside this container
EXPOSE 80
# Run app.py when the container launches
CMD ["python", "app.py"]
docker build -t my-langchain-app .
docker run -d -p 6379:6379 -p 8001:8001 redis/redis-stack:latest
docker run --name my-running-app --link some-redis:redis -d my-langchain-app
In your Python code, you would then connect to Redis using the hostname redis
(the alias you specified with --link
), like so:
from langchain.vectorstores import Redis
from langchain.embeddings import OpenAIEmbeddings
embeddings = OpenAIEmbeddings()
redisearch = Redis.from_existing_index(
embeddings,
index_name="my-index",
redis_url="redis://username:password@localhost:6379"
)
Please note that this is a basic example and your actual setup might require additional configuration. For example, you might need to handle data persistence for Redis, or you might need to use Docker Compose or Kubernetes if your application consists of multiple services. In the context shared, you can also customize the vector schema and index schema for optimizing the vector schema for your use case or for using the hybrid querying (filtering) capability of Redis. Additionally, you can use the from_texts
method to create a Redis vectorstore from a list of texts, and the from_existing_index
method to connect to an existing Redis index.
The specific requirements for LangChain to run in a Docker container are:
Dockerfile: The Dockerfile named dev.Dockerfile
located in the libs/langchain
directory is required for building the Docker image for LangChain.
Volumes: The project folder needs to be mounted to the /workspaces
directory in the Docker container. This is specified by - ..:/workspaces:cached
in the volumes section.
Networks: The Docker container needs to be connected to a network named langchain-network
which uses the bridge driver.
Here is the relevant part of the Docker Compose file:
version: '3'
services:
langchain:
build:
dockerfile: libs/langchain/dev.Dockerfile
context: ..
volumes:
- ..:/workspaces:cached
networks:
- langchain-network
networks:
langchain-network:
driver: bridge
Please note that the commented out sections in the Docker Compose file suggest that LangChain might also require a MongoDB service to run properly. However, as these sections are commented out, they are not currently required. If they were required, the MongoDB service would need to be configured with the specified environment variables and connected to the same network as the LangChain service.
I hope this helps! If you have any further questions, feel free to ask.
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
If you want to continue the conversation, start your reply with @dosu-bot.
@dosu-bot this was my compose file but still it is not working
` version: "3.9"
services: redis: image: redis/redis-stack-server:latest networks:
networks: my-net: driver: bridge
volumes: redis_data: `
🤖
From the Docker Compose file you've shared, it seems like you've set up the Redis service correctly. However, the connection issue might be due to the redis_url
not being correctly set in your LangChain application.
The redis_url
is used by the RedisStore
class in LangChain to connect to the Redis server. This URL can be a simple connection, a connection with authentication, or a connection with SSL. The redis_url
is fetched from the kwargs
or the environment variables. If the Redis server requires authentication or SSL, the redis_url
should include the username, password, and the protocol (rediss for SSL).
You can set the redis_url
in your environment variables or pass it as an argument when initializing the Redis instance in LangChain. The format of the redis_url
should be as follows:
redis://<hostname>:<port>
redis://<username>:<password>@<hostname>:<port>
rediss://<username>:<password>@<hostname>:<port>
If you're using environment variables, you can set the REDIS_URL
variable to the above format. If you're not using a REDIS_URL
variable, you can set the REDIS_HOST
and REDIS_PORT
variables, and optionally the REDIS_USERNAME
and REDIS_PASSWORD
if your Redis server requires authentication. If your Redis server uses SSL, you can set the REDIS_SSL
variable to a true value.
Here is the relevant code for formatting the redis_url
from environment variables:
def format_redis_conn_from_env():
redis_url = os.getenv("REDIS_URL", None)
if redis_url:
return redis_url
else:
using_ssl = get_boolean_env_var("REDIS_SSL", False)
start = "rediss://" if using_ssl else "redis://"
# if using RBAC
password = os.getenv("REDIS_PASSWORD", None)
username = os.getenv("REDIS_USERNAME", "default")
if password is not None:
start += f"{username}:{password}@"
return start + f"{REDIS_HOST}:{REDIS_PORT}"
REDIS_URL = format_redis_conn_from_env()
You can find this code in the templates/rag-redis/rag_redis/config.py file.
Also, ensure that the redis
Python package is installed in your environment. If it's not installed, you can install it using pip install redis
.
If you're still facing issues, please share more details about the error messages you're getting and the steps you're following to deploy LangChain and connect it to Redis.
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
If you want to continue the conversation, start your reply with @dosu-bot.
@VpkPrasanna what error you are getting when connecting to Redis? can you share the code as well?
Error i got is An error occurred: Error 99 connecting to localhost:6379. Cannot assign requested address.
I am try to connect something like this
url = "redis://localhost:6379/0" redis_client = get_client(redis_url=url)
this is how i am connecting to redis-client in my application container
try replacing localhost
with redis
try replacing
localhost
withredis
This method worked , thanks @Spartee @umair313
Issue you'd like to raise.
I am using RedisChatMessageHistory from langchain and i am trying to deploy it using docker and i am facing issues in connecting to the redis . can someone help me over here @hwchase17
Suggestion:
No response