
Managed knowledge for AI agents: hybrid search, auto-embeddings and live schema introspection over your own collections, behind one endpoint. Agents usually fail at the knowledge layer, not the model. The usual setup is a vector database, an embedding pipeline, a sync job and a
Prices and medians update for the tier you select.
Ranked by how closely each one matches Foxnose Knowledge's job. Prices show each provider's Pro state; entry prices are labelled as such. Unpriced products still belong to the market.
Market = the products most similar to this one by capability; prices are median / quartiles over its priced members, separated by provider type and buyer tier.