Tag
A thread warns that choosing a vector database solely on speed benchmarks can be a trap for AI agents, which have constant write workloads unlike RAG's read-heavy patterns. It recommends specific databases based on use case, such as Qdrant for agent memory and pgvector for under 10M vectors on Postgres.
LlamaIndex and LanceDB collaborated on a pipeline using LiteParse for PDF parsing and LanceDB for multimodal storage, enabling better retrieval from complex enterprise PDFs for agentic workflows.
The EverOS open-source library has completed a major refactoring, storing original memory directly as Markdown files, supplemented by SQLite for state management and LanceDB for retrieval, significantly improving developer readability, modifiability, and fault recovery.