search_messages

Example:

from langchain_redis import RedisChatMessageHistory
from langchain_core.messages import HumanMessage, AIMessage

history = RedisChatMessageHistory(session_id="user123", redis_url="redis://localhost:6379")

# Add some messages
history.add_message(
    HumanMessage(content="Tell me about Machine Learning")
)
history.add_message(
    AIMessage(content="Machine Learning is a subset of AI...")
)
history.add_message(
    HumanMessage(content="What are neural networks?")
)
history.add_message(
    AIMessage(
    content="Neural networks are a key component of deep learning..."
    )
)

# Search for messages containing "learning"
results = history.search_messages("learning", limit=5)

for result in results:
    print(f"Content: {result['content']}")
    print(f"Type: {result['type']}")
    print("---")

Note:

• The search is performed using RedisVL's TextQuery capabilities, which allows for efficient full-text search.
• The search is case-insensitive and uses Redis' default tokenization and stemming.
• Only messages from the current session (as defined by session_id) are searched.
• The returned dictionaries include all stored fields, which typically include 'content', 'type', and any additional metadata stored with the message.
• This method is useful for quickly finding relevant parts of a conversation without having to iterate through all messages.