SochDB

SochDB is an LLM‑native embedded database that combines traditional SQL storage, vector search and long‑term context memory into a single engine, so AI agents and RAG applications don’t need to stitch together multiple systems like PostgreSQL, a separate vector DB, caches and custom glue code. Designed for AI/LLM developers, agent builders and local‑first indie projects. SochDB lets you store structured data, embeddings and conversational or agent memory side by side and query them consistently for better reasoning and relevance. Because SochDB runs embedded and local‑first, your data and vectors live close to the application logic, which means more predictable performance, lower infrastructure and operational overhead and easier debugging compared to remote, multi‑service setups. By collapsing SQL, vectors and context into one ACID‑compliant engine, SochDB helps teams cut sync issues and “split‑brain” problems between databases, reduce latency in agent decision‑making and simplify the overall architecture of AI apps, from prototypes to production systems.