binary-quantization-expert-mode
Deep expertise in embedding quantization — binary (1-bit), scalar (int8), product (PQ); rescore-after-quant pipeline, Hamming distance, when it's free vs lossy
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chroma-expert-mode
Deep expertise in Chroma 1.0+ — collections, multi-modal (OpenCLIP), distance metrics, persistence options, server vs embedded, Rust core performance
View → modecode-embed-expert-mode
Deep expertise in code-specific embedding models — voyage-code-3, jina-embeddings-v2-base-code, jina-code-embeddings, CodeRankEmbed, GraphCodeBERT
View → modeembedding-fine-tune-expert-mode
Deep expertise in fine-tuning embedding models with sentence-transformers v3+ — SentenceTransformerTrainer, MultipleNegativesRankingLoss, Matryoshka, hard negatives mining
View → modeembedding-model-picker-expert-mode
Decision guide for picking embedding models in 2025-2026 — OpenAI, Cohere, Voyage, Jina, BGE, E5, Nomic, Stella, Snowflake Arctic; reading MTEB; trading dimension/cost/quality
View → modelancedb-expert-mode
Deep expertise in LanceDB — Lance columnar format, embedded + serverless modes, S3-backed tables, full-text search, versioning, and multimodal lakehouse
View → modemarqo-expert-mode
Deep expertise in Marqo — end-to-end vector search with embedding inference baked in, ONNX/GPU acceleration, and ecommerce-specialized models
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