dennyglee

RAG testing using different indexes with llamaindex

Different Indexes result in different answers

(Generated by Chat GPT 4.0)

Retrieval-Augmented Generation (RAG) systems, which combine a neural network-based generative model with a retrieval system, can use various types of indexes to retrieve relevant documents or passages. The type of index used can significantly impact the performance and output of the RAG system. Let's explore why using different indexes like Keyword Table Index, Vector Store Index, Summary Index, Tree Index, and Knowledge Graph Index for the same document results in different answers:

1. Keyword Table Index:

• Nature: It's based on keyword matching.

miguno

Building Apache Kafka 0.8 (trunk) for Scala 2.9.2

Instructions below based on:

• http://stackoverflow.com/questions/14735363
• http://kafka.apache.org/quickstart.html
• https://cwiki.apache.org/KAFKA/kafka-08-quick-start.html

Download and build