Implementing Agent Applications with LlamaIndex’s Query Pipeline

Implementing Agent Applications with LlamaIndex's Query Pipeline

In the previous article “The Future of Application Orchestration is Pipeline, LlamaIndex Releases Query Pipeline in Preview to Enhance Application Development Flexibility” we mentioned that LlamaIndex has released a new experimental feature that supports defining a Query Pipeline in a declarative manner to create personalized application workflows, along with a case study for RAG applications. … Read more

LlamaIndex Practical Implementation: Agent Database Interaction

LlamaIndex Practical Implementation: Agent Database Interaction

Overview This article implements a simple intelligent Agent that first queries data from a database and then processes the data using utility functions. This is a very common scenario that can be extended to multiple practical situations. Similarly, all experiments in this article are conducted on a local machine with 16C32G Linux (CPU). Data Preparation … Read more

AI Insights: Data Development and Analysis in 2025

AI Insights: Data Development and Analysis in 2025

Followinglast week’sthoughts on Type 1 and Type 2 tasks, I reflected on my Type 1 tasks (tasks that can be done better than AI). As a data engineer, what can be done at this stage is to apply AI to various aspects of data development, including: data integration, SQL generation, data quality checks, Gen BI … Read more

Transforming Text to SQL with LLaMA2: A Local LLM Guide

Transforming Text to SQL with LLaMA2: A Local LLM Guide

With the rapid development of large model technology, how to fully utilize AI while ensuring data privacy has become a hot topic. Open-source local large language models (LLMs) are gradually becoming an important tool to solve this problem. Today, we will introduce a star-level open-source model—LLaMA2, and see how it seamlessly implements the “text to … Read more