Build Durable Chat Memory for RAG Using ScyllaDB and LangChain

What this post added

This post demonstrates integrating ScyllaDB Vector Search with LangChain for RAG use cases and using ScyllaDB as a durable conversation memory within LangChain. It highlights ScyllaDB's benefits for AI applications, including high availability, predictable P99 latency, and horizontal scalability, and mentions the reuse of the Cassandra connector for integration.