VectorChord-BM25: Revolutionize PostgreSQL Search with BM25 Ranking
VectorChord-BM25 enhances PostgreSQL search with BM25 ranking, 3x faster than ElasticSearch. Supports BERT, Tocken, and Unicode tokenizers| VectorChord
VectorChord-BM25 enhances PostgreSQL search with BM25 ranking, 3x faster than ElasticSearch. Supports BERT, Tocken, and Unicode tokenizers| VectorChord
Where should you begin if you plan to implement search functionality but have not yet collected data from user interactions to train ranking models?| Vespa Blog
Enhance vector search efficiency with external centroids building in VectorChord using external resources and hierarchical K-means| VectorChord
Introducing VectorChord: The successor to pgvecto.rs. Using VectorChord, you can achieve a QPS of 131 with 0.95 precision on 100 million 768D dataset| VectorChord
Learn how to build better retrieval augmented generation (RAG) pipelines for LLMs, search, and recommendation. In this chapter we explore two-stage retrieval and the incredible accuracy of reranker models.| www.pinecone.io
Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub.| GitHub
