Vector Migration

I came up with this idea from a real customer problem. A company approached us because their current vector database lacked some features with alternatives in the market. They wished they had chosen a different vector DB from the start, but by then they had already ingested thousands of documents through OCR. Re-ingesting everything into a new database would have been extremely costly and time-consuming. As we know modern AI applications rely heavily on vector databases to power semantic search, recommendation engines, and retrieval-augmented generation (RAG) systems. As these applications scale, teams often discover that their original vector database choice no longer meets performance, cost, or deployment requirements. This is where Vector Migration becomes essential - not as a one-time operation, but as a core capability of evolving AI infrastructure. Vector Migration by AgileForce is a purpose-built tool designed to handle these challenges safely and efficiently. It simplifies moving vector data between leading vector databases. At a high level, the tool enables teams to: - Migrate vector embeddings between databases - Preserve metadata, IDs, and structural consistency - Avoid unnecessary re-embedding where possible - Reduce downtime during production migrations - Execute repeatable, predictable migrations