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Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Compute and analyze embeddings for dataset quality, distribution comparison, semantic deduplication, diversity measurement, and similarity-based filtering. Covers sentence-transformers, embedding space diagnostics, and 2025-2026 literature techniques (NeMo Curator semantic dedup, embedding simila...
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local develop...
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Be...
Biologically-inspired cognitive memory for AI agents. Panksepp affects, Free Energy consolidation, VSA binding, sparse retrieval, temporal prediction, metacognition.
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local develop...
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local develop...
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local develop...
Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies
SetFit few-shot learning for efficient intent classification with minimal data
Local RAG system for agent memory using ChromaDB and sentence-transformers. Provides semantic search over session logs, daily notes, and memory files. Use when you need persistent memory across sessions, want to search past conversations, or build agents that remember context. Commands: recall "q...
Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.
Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.
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Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.