Han Xiang Choong
Senior Customer Architect at Elastic
Han Xiang Choong is a Senior Customer Architect at Elastic. He plays too many videogames and can't seem to stop changing his hobbies every 6 months.
Agentic RAG with Elasticsearch & Langchain
Discussing Agentic RAG and implementing an agentic flow where the LLM chooses to call an Elastic KB.
Which job is the best for you? Using LLMs and semantic_text to match resumes to jobs
Learn how to use Elastic's LLM Inference API to process job descriptions, and run a double hybrid search to find the most suitable job for your resume.
Beyond vectors: Intelligent hybrid search with LLM agents in Elasticsearch
Vector search alone does not account for time, space, or intention, limiting its effectiveness. Thankfully, a solution lies in combining Elastic's traditional search features with LLM agents.
Automating traditional search with LLMs & Elastic Query DSL
Learn how to use LLMs to write Elastic Query DSL and query structured data with filters.
Improving e-commerce search with query profiles in Elastic
This blog demonstrates how to improve e-commerce search using query profiles in Elastic.
Build RAG quickly with minimal code in Elastic 8.15
Learn how to build an end-to-end RAG pipeline with the S3 Connector, semantic_text datatype, and Elastic Playground.
Advanced RAG techniques part 2: Querying and testing
Discussing and implementing techniques which may increase RAG performance. Part 2 of 2, focusing on querying and testing an advanced RAG pipeline.
Advanced RAG techniques part 1: Data processing
Discussing and implementing techniques which may increase RAG performance. Part 1 of 2, focusing on the data processing and ingestion component of an advanced RAG pipeline.
