ScyllaDB for Chat Memory in LangChain
ScyllaDB as a backend for LangChain addresses a key issue: preserving dialogue context in RAG systems and scaling without losing state. The problem does not manifest immediately — until the moment the RAG chatbot exceeds a single process. LLMs are inherently stateless: each request begins with an empty context unless the history is manually reproduced. … Read more