How To
Journey through the city: Geospatial search made simple with LLM and Elasticsearch
Delve into the intricate world of geospatial search augmented by the power of Large Language Model (LLM) technology.
Semantic Reranking in Elasticsearch with Retrievers
Explore strategies for boosting the relevance of your top search results.
How to use the Connector API to ingest data into Elasticsearch Serverless
“Learn how to programmatically manage connectors to ingest data into Elasticsearch Serverless.”
How to choose the best k and num_candidates for kNN search
Learn strategies for selecting the optimal values for `k` and `num_candidates` parameters, illustrated with practical examples using Kibana.
Using NVIDIA NIM with Elasticsearch vector store
Explore how NVIDIA NIM enhances applications with natural language processing capabilities. NVIDIA NIM offers features such as in-flight batching, which not only speeds up request processing but also integrates seamlessly with Elasticsearch to boost data indexing and search functionalities.
Using Elasticsearch as a vector database for Azure OpenAI On Your Data
Explore how to quickly set up and ingest data into Elasticsearch for use as a vector database with Azure OpenAI On Your Data, enabling you to chat with your private data.
Elasticsearch open inference API adds Azure AI Studio support
Elasticsearch open inference API adds support for embeddings generated from models hosted on Azure AI Studio and completion tasks from large language models such as Meta-Llama-3-8B-Instruct."
Elasticsearch open inference API adds support for Azure OpenAI chat completions
Elasticsearch open inference API adds support for Azure Open AI chat completions, providing full developer access to the Azure AI ecosystem
Elasticsearch open inference API adds support for Azure OpenAI embeddings
Elasticsearch open inference API adds support for Azure OpenAI embeddings to be stored in the world's most downloaded vector database.