Abstract: In some embodiments, the techniques described herein relate to a method including: receiving a user input message within a conversational session; indexing the message with metadata fields including a message identifier, a content, a timestamp, a user identification, a session identification, at least two keywords, and at least two entities; expanding the user input using a lexical database to include synonyms, keywords, and entities for broader contextual recall; applying recentness filtering to prioritize recall of recent interactions, emulating human short-term memory; ranking potential responses using a context-sensitive scoring mechanism based on recentness, content relevance, keywords, and entities; storing and indexing a plurality of features ranked based on frequency; searching a database to manage contextual memory, leveraging keywords and entities to retrieve the ranked features from the indexed conversational history; generating a dynamic prompt template based on user input, session history, and co