Hybrid Search

Similar Products

6 result(s)

Reciprocal Rank Fusion (RRF)

Hybrid search algorithm combining results from multiple ranking systems by computing reciprocal ranks, commonly used to merge dense vector search with sparse keyword search for improved retrieval.

Reciprocal Rank Fusion

Method for combining ranked lists from multiple retrieval systems in hybrid search. Standard technique in RAG pipelines for fusing BM25 and dense vector results before reranking, creating diverse high-confidence candidate sets.

Approximate Nearest Neighbors (ANN)

Family of algorithms trading perfect accuracy for speed in high-dimensional similarity search. Enables sub-linear query time with 90%+ recall on billion-scale datasets.

Semantic Search

Search technique understanding meaning and context rather than exact keyword matching. Uses vector embeddings to find semantically similar content even with different wording.

Vector Similarity Search

Finding nearest vectors in high-dimensional space based on distance or similarity metrics. Core operation of vector databases enabling semantic search, recommendations, and RAG.

Cohere's re-ranker

Featured

A re-ranking tool provided by Cohere, which can be integrated into LLM applications via frameworks like LangChain to improve the relevance and order of retrieved documents from search systems, including those utilizing vector databases.