Category: Vector Database
Articles tagged Vector Database
Elasticsearch Open Inference API adds support for Jina AI Embeddings and Rerank Model
Explore how to access Jina AI models using the Elasticsearch Open Inference API.
Elasticsearch hybrid search
Learn about hybrid search, the types of hybrid search queries Elasticsearch supports, and how to craft them.
Self-querying retrievers with Elasticsearch: Unleashing your metadata
Discover how to utilize self querying retrievers with Elasticsearch to increase the relevance of your semantic search with structured filters.
How to set up vector search in Elasticsearch
Learn how to set up vector search in Elasticsearch and execute k-NN searches.
A quick introduction to vector search
This article is the first in a series of three that will dive into the intricacies of vector search, also known as semantic search, and how it is implemented in Elasticsearch.
Build a multimodal image retrieval system using KNN search and CLIP embeddings
Learn how to build a powerful semantic image search engine with Roboflow Inference and Elasticsearch.
High Quality RAG with Aryn DocPrep, DocParse and Elasticsearch vector database
Learn how to achieve high-quality RAG with effective data preparation using Aryn.ai DocParse, DocPrep, and Elasticsearch vector database.
Improving e-commerce search with query profiles in Elastic
This blog demonstrates how to improve e-commerce search using query profiles in Elastic.
Early termination in HNSW for faster approximate KNN search
Learn how HNSW can be made faster for KNN search, using smart early termination strategies.
Optimized Scalar Quantization: Improving Better Binary Quantization (BBQ)
Here we explain optimized scalar quantization in Elasticsearch and how we used it to improve Better Binary Quantization (BBQ).
When hybrid search truly shines
Demonstrating when hybrid search is better than lexical or semantic search on their own.
