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Skills tagged: reranking

Browse skills that share this tag.

  • rag - Retrieve, rerank, ground, cite, and refuse RAG pipeline
    ragretrieval-augmented-generationchunkinghybrid-search

    ★ 89 · Updated 2026-09-24

    Build grounded Q&A pipelines over a corpus by chunking, contextualizing, hybrid retrieval, reranking, grounding, citing chunk IDs, and refusing weak context.

    ⚙ Chunk text into structured splits⚙ Prepend contextual blurbs to chunks⚙ Retrieve candidates using hybrid search
  • rag-expert - Retrieval-Augmented Generation Patterns on OCI
    ragocioracle-cloudvector-search

    ★ 0 · Updated 2026-09-16

    Provides architecture patterns, model selection, vector store options, and retrieval optimization guidance for RAG on Oracle Cloud Infrastructure.

    ⚙ Design RAG architectures on OCI⚙ Select embedding models and vector stores⚙ Optimize retrieval and hybrid search
  • rag-expert - RAG Expert for Oracle Cloud Infrastructure
    ragocioracle-cloudvector-search

    ★ 1 · Updated 2026-09-16

    Provides patterns and guidance for building production RAG systems on Oracle Cloud Infrastructure.

    ⚙ Design enterprise RAG architectures⚙ Select embedding models and vector stores⚙ Optimize retrieval quality
  • rag-systems - Build Retrieval-Augmented Generation systems and pipelines.
    ragretrieval-augmented-generationvector-searchbm25

    ★ 4 · Updated 2026-09-09

    Covers chunking strategies, embeddings, vector search, hybrid retrieval, reranking, query expansion, and evaluation for RAG pipelines.

    ⚙ Implement fixed and semantic chunking⚙ Perform BM25 term retrieval⚙ Execute embedding based vector search
  • rerank - Search Result Reranking with Cross-Encoder
    searchrerankingrelevancecross-encoder

    ★ 3 · Updated 2026-03-10

    Re-rank initial search results using Cross-Encoder for improved relevance

    ⚙ load reranker model⚙ predict relevance scores⚙ sort results by score
  • rag-implementation - Build RAG Systems for LLM Applications
    ragretrieval-augmented-generationvector-databasesemantic-search

    ★ 509 · Updated 2026-02-15

    Build Retrieval-Augmented Generation systems for LLM applications with vector databases and semantic search

    ⚙ build Q&A systems⚙ create chatbots⚙ implement semantic search