AI Engineering
Learn LLMs, RAG, agents, secure tools, and production AI through practical insurance examples.
Atlas, document storage, metadata, and vector search
Atlas is MongoDB's managed database environment; MongoDB Vector Search indexes supported vector fields for similarity retrieval. Source metadata and application records can live alongside chunk documents. A vector/search index is distinct from ordinary…
Conversations, agent state, and user memory
MongoDB collections can store conversation messages, task/run state, approved preferences, and memory records. A LangGraph checkpointer requires its expected integration contract rather than an arbitrary collection called memory. Business claims remain…
Multi-tenancy and comparison with PostgreSQL + pgvector
Multi-tenancy supports several organizations while preventing cross-organization access. MongoDB often fits flexible document records; PostgreSQL provides relational constraints, joins, transactions, and optional row-level security with pgvector. Both require…
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