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LangChain, vector databases, instruction routing, specialized memory stores. You'd be forgiven for thinking you need a whole new stack to build agentic systems. However, that isn't actually the case: electric-sql.com/blog/2025/08...
electric-sql.comBringing agents back down to earth | ElectricSQLAgentic AI, beneath all the hype, is actually just normal software. You can build agentic systems with a database, standard web tooling and real-time sync.
Instructing LLMs means sending an instruction to an LLM. Agentic memory is where you store data that those instructions are based on. Retrieval is the ability to query that data. Context engineering retrieves and formats the right information to send in the instruction.
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