Memory
Memory Store
Lamatic's Memory Store is designed to store and manage contextual information efficiently, enabling persistent memory collections tied to unique users and sessions. This feature enhances large language models (LLMs) by providing long-term memory capabilities, allowing for more personalized and context-aware interactions.
Key Benefits:
- Persistent Memory Collections: Store contextual data linked to users and sessions to improve continuity.
- Scalability: Efficiently manage memory across multiple interactions without performance degradation.
- Efficient Querying: Retrieve relevant contextual data quickly using optimized indexing.
Checkout the docs here
Memory Add Node
The Memory Node Add allows users to store and manage contextual information by creating persistent memory collections tied to unique users and sessions. This node is particularly useful for maintaining conversation history, user preferences, and other stateful data across workflow executions.
Key Benefits:
- Persistent Storage: Store and manage contextual information that persists across workflow executions.
- User & Session Management: Support for both user-level and session-specific memory storage with unique identifiers.
- Metadata Support: Attach additional metadata to stored memories.
Checkout the docs here
Memory Retrieve Node
The Memory Retrieve Node allows users to search and retrieve stored memories from collections using semantic search capabilities. This node is essential for accessing previously stored contextual information and implementing memory-based features in workflows.
Key Benefits:
- Memories Search: Search memories using natural language queries.
- Filtering: Apply filters to refine search results and restrict them to particular uniqueId and sessionId.
- Configurable Results: Control the number of memories returned.
Checkout the docs here
New Onboarding Experience
Enhanced the new user experience with a streamlined onboarding flow. The key addition is a "Quick Walkthrough" video, offering a visual and interactive introduction to Lamatic and helping users quickly grasp the basics of building and deploying flows.
Other Improvement
- We've improved the API request node to support both real-time and asynchronous response types. Additionally, you now need to specify the project when making a request.
- Simplified schema creation, validation, and management for developers.
- Enhanced Security Measures to strengthen data integrity and safeguard workflows from potential vulnerabilities.
