LlamaIndex
Overview
LlamaIndex is a framework for building large language model (LLM) applications.
LlamaIndex and Weaviate
Weaviate is a supported vector store in LlamaIndex.
Resources
The resources are broken into categories:
- Hands on Learning: Build your technical understanding with end-to-end tutorials.
- Read and Listen: Develop your conceptual understanding of these technologies.
Hands-on Learning
Data Loaders in LlamaIndex
Learn how to load data into Weaviate using LlamaIndex, and how to connect LlamaIndex to an existing Weaviate cluster.
Open →Indexes in LlamaIndex
Learn about the various indexes you can build in LlamaIndex.
Open →Recursive Query Engine
Learn how to build a recursive query engine.
Open →Self Correcting Query Engine
Setup your vector store and build a self-correcting query engine.
Open →Simple Query Engine
Build a simple query engine
Open →SQL Router Query Engine
Build a SQL Query Engine to search through your vector and SQL database.
Open →Sub-Question Query Engine
Build a query engine that will break down a complex question into multiple parts.
Open →Advanced RAG
This notebook walks you through an advanced Retrieval-Augmented Generation (RAG) pipeline using LlamaIndex and Weaviate.
Open →Naive RAG
This notebook walks you through a naive Retrieval-Augmented Generation (RAG) pipeline using LlamaIndex and Weaviate.
Open →Agent vs No Agent
Learn the difference between naive RAG, and an agent that has RAG tools.
Open →LlamaIndex and Weaviate Query Agent
Use the Query Agent as a tool with the LlamaIndex AgentWorkflow
Memory with LlamaIndex, Weaviate, and Gemini
This notebook shows you how you can give your AI agent long-term memory with LlamaIndex, Weaviate, and Gemini.
Open →Read & Listen
Episode 1: Data Loading
This episode shows you how to connect your data to LlamaIndex and Weaviate.
Open →Episode 2: Indexes in LlamaIndex
The video covers the three LlamaIndex indexes (Vector Store Index, List Index, and Tree Index) and walks through the architecture design. The video ends with a demo using the Vector Store Index and List Index.
Open →Episode 3: RAG Techniques in LlamaIndex
Learn about four query engines implemented in LlamaIndex.
Open →LlamaIndex and Weaviate Blog
An introduction on LlamaIndex and an overview of the integration.
Read →