Category: Vector Database
Articles tagged Vector Database
Hybrid search with multiple embeddings: A fun and furry search for cats!
A walkthrough of how to implement different types of search - lexical, vector and hybrid - on multiple embeddings (text and image). It uses a simple and playful search application on cats.
RaBitQ binary quantization 101
Understand the most critical components of RaBitQ binary quantization, how it works and its benefits. This guide also covers the math behind the quantization and examples.
Unlock the power of your data with RAG using Vertex AI and Elasticsearch
Unlock your data's potential with RAG using Vertex AI and Elasticsearch. This blog series covers data ingestion into Elasticsearch for a robust knowledge base for creating advanced RAG based search applications.
Building a search app with Blazor and Elasticsearch
Learn how to build a search application using Blazor and Elasticsearch, and how to use the Elasticsearch .NET client for hybrid search.
LangChain4j with Elasticsearch as the embedding store
LangChain4j (LangChain for Java) has Elasticsearch as an embedding store. Discover how to use it to build your RAG application in plain Java.
Vertex AI integration with Elasticsearch open inference API brings reranking to your RAG applications
Google Cloud customers can use Vertex AI embeddings and reranking models with Elasticsearch and take advantage of Vertex AI’s fully-managed, unified AI development platform for building generative AI apps.
Navigating an Elastic vector database
An overview of operating a modern Elastic vector database with practical code samples.
Elasticsearch open Inference API support for AlibabaCloud AI Search
Discover how to use Elasticsearch vector database with AlibabaCloud AI Search, which offers inference, reranking, and embedding capabilities.
A recipe for GenAI powered search (RAG) on your PDF treasure
An easy approach to create embeddings for and apply semantic GenAI powered search (RAG) to PDF documents using Elastic's new semantic_text field type and the Playground in Elastic.
Elasticsearch open inference API adds native chunking support for Hugging Face
Elasticsearch open inference API extends support for models from Hugging Face, and brings native chunking to Hugging Face users
Dataset translation with LangChain, Python & Vector Database for multilingual insights
Learn how to translate a dataset from one language to another and use Elastic's vector database capabilities to gain more insights.
A tutorial on building local agent using LangGraph, LLaMA3 and Elasticsearch vector store from scratch
This article will provide a detailed tutorial on implementing a local, reliable agent using LangGraph, combining concepts from Adaptive RAG, Corrective RAG, and Self-RAG papers, and integrating Langchain, Elasticsearch Vector Store, Tavily AI for web search, and LLaMA3 via Ollama.