Alibaba Cloud AI Service & Elasticsearch: Embeddings and reranking
Using Alibaba Cloud AI Service features with Elasticsearch.
ChatGPT and Elasticsearch revisited: Part 2 - The UI abides
This blog expands on Part 1 by introducing a fully functional web UI for our RAG-based search system. By the end, you'll have a working interface that ties the retrieval, search, and generation process together—while keeping things easy to tweak and explore.
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.
Exploring OpenAI CLIP alternatives
Analyzing alternatives to the OpenAI CLIP model for image-to-image, and text-to-image search.
Using Ollama with the Inference API
Learn how to integrate Ollama with Elasticsearch using the Inference API.
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.
Are synonyms important in RAG?
Exploring the functionality of Elasticsearch synonyms in a Retrieval Augmented Generation (RAG) application.
Elastic Playground: Using Elastic connectors to chat with your data
Learn how to use Elastic connectors and Playground to chat with your data. We'll start by using connectors to search for information in different sources.
Testing DeepSeek R1 locally for RAG with Ollama and Kibana
Learn how to run a local instance of DeepSeek and connect to it from within Kibana.
Faceted search: Use AI to improve search scope and results
Explore how to use facet search in Elasticsearch to quickly narrow down options within categories.
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.
Graph RAG: Navigating graphs for Retrieval-Augmented Generation using Elasticsearch
Discover how to use Knowledge Graphs to enhance RAG results while storing the graph efficiently in Elasticsearch. This guide explores a detailed strategy for dynamically generating knowledge subgraphs tailored to a user’s query.