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.
How to build an agent knowledge base with LangChain and Elasticsearch
Learn how to build an agent knowledge base and test its ability to query sources of information based on context, use WebSearch for out-of-scope queries, and refine recommendations based on user intention.
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.
Improving e-commerce search with query profiles in Elastic
This blog demonstrates how to improve e-commerce search using query profiles in Elastic.
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.
Automating traditional search with LLMs & Elastic Query DSL
Learn how to use LLMs to write Elastic Query DSL and query structured data with filters.
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.