How Fieldy AI Achieved Reliable AI Memory with Qdrant - Qdrant

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Fieldy AI migrated from Weaviate to Qdrant for their AI memory platform due to reliability issues with Weaviate (5xx errors). The migration involved reusing the existing vector schema, batching embeddings locally before ingestion, disabling indexing during bulk import, and updating API calls to use Qdrant's gRPC interface. They implemented hybrid search with BM25 and dense vector retrieval via Reciprocal Rank Fusion (RRF). The migration resulted in 100% reliable recall, reduced latency, virtually eliminated network errors, and a two-thirds reduction in infrastructure costs while scaling to tens of millions of embeddings.