Factual memory

Factual Memory Fact memory stores discrete pieces of factual data that are extracted from conversations or interactions. These facts are agnostic of time or context and are stored in a vector database (e.g., Pinecone) for efficient retrieval. When integrated with the Levia protocol's social media learning capabilities, this memory system:

• Extracts and validates knowledge from social media platforms through NLP algorithms, cross-referencing with trusted sources

• Maintains metadata about information acquisition time and verification status

• Organizes facts hierarchically while preserving semantic relationships

• Updates continuously through social media monitoring, validating new information against existing knowledge

• Enables semantic search for contextually relevant information retrieval

This architecture allows Levia to maintain current knowledge while ensuring information accuracy.