mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
4209457bdc
Add Redis langserve template! Eventually will add semantic caching to this too. But I was struggling to get that to work for some reason with the LCEL implementation here. - **Description:** Introduces the Redis LangServe template. A simple RAG based app built on top of Redis that allows you to chat with company's public financial data (Edgar 10k filings) - **Issue:** None - **Dependencies:** The template contains the poetry project requirements to run this template - **Tag maintainer:** @baskaryan @Spartee - **Twitter handle:** @tchutch94 **Note**: this requires the commit here that deletes the `_aget_relevant_documents()` method from the Redis retriever class that wasn't implemented. That was breaking the langserve app. --------- Co-authored-by: Sam Partee <sam.partee@redis.com>
77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
import os
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def get_boolean_env_var(var_name, default_value=False):
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"""Retrieve the boolean value of an environment variable.
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Args:
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var_name (str): The name of the environment variable to retrieve.
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default_value (bool): The default value to return if the variable
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is not found.
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Returns:
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bool: The value of the environment variable, interpreted as a boolean.
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"""
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true_values = {'true', '1', 't', 'y', 'yes'}
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false_values = {'false', '0', 'f', 'n', 'no'}
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# Retrieve the environment variable's value
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value = os.getenv(var_name, '').lower()
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# Decide the boolean value based on the content of the string
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if value in true_values:
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return True
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elif value in false_values:
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return False
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else:
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return default_value
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# Check for openai API key
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if "OPENAI_API_KEY" not in os.environ:
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raise Exception("Must provide an OPENAI_API_KEY as an env var.")
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# Whether or not to enable langchain debugging
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DEBUG = get_boolean_env_var("DEBUG", False)
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# Set DEBUG env var to "true" if you wish to enable LC debugging module
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if DEBUG:
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import langchain
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langchain.debug=True
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# Embedding model
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EMBED_MODEL = os.getenv("EMBED_MODEL",
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"sentence-transformers/all-MiniLM-L6-v2")
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# Redis Connection Information
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REDIS_HOST = os.getenv("REDIS_HOST", "localhost")
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REDIS_PORT = int(os.getenv("REDIS_PORT", 6379))
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def format_redis_conn_from_env():
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redis_url = os.getenv("REDIS_URL", None)
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if redis_url:
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return redis_url
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else:
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using_ssl = get_boolean_env_var("REDIS_SSL", False)
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start = "rediss://" if using_ssl else "redis://"
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# if using RBAC
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password = os.getenv("REDIS_PASSWORD", None)
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username = os.getenv("REDIS_USERNAME", "default")
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if password is not None:
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start += f"{username}:{password}@"
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return start + f"{REDIS_HOST}:{REDIS_PORT}"
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REDIS_URL = format_redis_conn_from_env()
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# Vector Index Configuration
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INDEX_NAME = os.getenv("INDEX_NAME", "rag-redis")
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current_file_path = os.path.abspath(__file__)
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parent_dir = os.path.dirname(current_file_path)
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schema_path = os.path.join(parent_dir, 'schema.yml')
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INDEX_SCHEMA = schema_path
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