Contextual Conversation Memory Within Visitor Sessions

via “session-based conversation context management with multi-turn memory”

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

Unique: Decouples session storage from LLM context, allowing flexible context window management strategies (summarization, sliding windows, hierarchical context). Session titles are auto-generated using a dedicated LLM call, improving UX without manual naming.

vs others: More flexible than stateless RAG (maintains conversation context), more efficient than naive history concatenation (supports context compression), and more user-friendly than manual context management.