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Explore todas as tecnologias do grafo por tipo e categoria.
Por tipo
Por categoria
- Algoritmos 30
- Modelos 16
- Modelos de embedding 8
- Técnicas 35
- Prompting 10
- Frameworks 12
- Frameworks de LLM 6
- Bancos de dados 3
- Bancos de dados vetoriais 8
- Mecanismos de busca 4
- Infraestrutura 15
- MLOps 4
- Avaliação 6
- Hardware 11
- Segurança e alinhamento 6
- Aplicações 7
- Multimodal 5
- Agentes de IA 4
- Benchmarks 11
- Conjuntos de dados 7
8 technologies shown
- Qdrant database Open-source vector database written in Rust, with payload filtering.
- Pinecone database Fully managed proprietary vector database with no self-hosted option.
- Milvus database Open-source distributed vector database designed for billion-scale collections.
- Weaviate database Open-source vector database with hybrid keyword and vector search built in.
- pgvector library Vector similarity search as a PostgreSQL extension, keeping embeddings beside your data.
- FAISS library Library for efficient similarity search over dense vectors.
- Chroma database Embedded vector database designed to be added to a Python application in minutes.
- LanceDB database Embedded vector database built on a columnar format for multimodal data.