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chroma_db
chroma_db
 
 
data
data
 
 
paul_rag_db
paul_rag_db
 
 
rag_evaluator_pack
rag_evaluator_pack
 
 
vector_db_index
vector_db_index
 
 
.gitignore
.gitignore
 
 
Agentic_RAG_using_LLamaIndex.ipynb
Agentic_RAG_using_LLamaIndex.ipynb
 
 
Create HuggingFace Embeddings using LlamaIndex.ipynb
Create HuggingFace Embeddings using LlamaIndex.ipynb
 
 
Create Vector Store Indexing in LlamaIndex.ipynb
Create Vector Store Indexing in LlamaIndex.ipynb
 
 
Create a RAG from scratch using LlamaIndex.ipynb
Create a RAG from scratch using LlamaIndex.ipynb
 
 
Download datasets from LlamaHub.ipynb
Download datasets from LlamaHub.ipynb
 
 
Extract Metadata from Data using LlamaIndex.ipynb
Extract Metadata from Data using LlamaIndex.ipynb
 
 
Google Gemini Pro LLM using LlamaIndex.ipynb
Google Gemini Pro LLM using LlamaIndex.ipynb
 
 
LlamaIndex Document Management.ipynb
LlamaIndex Document Management.ipynb
 
 
Load existing embeddings for RAG using LlamaIndex.ipynb
Load existing embeddings for RAG using LlamaIndex.ipynb
 
 
Local RAG on Paul Essay using ChromaDB.ipynb
Local RAG on Paul Essay using ChromaDB.ipynb
 
 
Nodes in LlamaIndex.ipynb
Nodes in LlamaIndex.ipynb
 
 
PII Masking in LlamaIndex.ipynb
PII Masking in LlamaIndex.ipynb
 
 
Prompt Template in LlamaIndex.ipynb
Prompt Template in LlamaIndex.ipynb
 
 
Query your data using Query Engine - LlamaIndex.ipynb
Query your data using Query Engine - LlamaIndex.ipynb
 
 
ReAct_Agent_using_LLamaIndex.ipynb
ReAct_Agent_using_LLamaIndex.ipynb
 
 
Reading online webpages using LlamaIndex.ipynb
Reading online webpages using LlamaIndex.ipynb
 
 
Save VectorStore Indexing in ChromaDB using LlamaIndex.ipynb
Save VectorStore Indexing in ChromaDB using LlamaIndex.ipynb
 
 
Saving Vector Store Embeddings in Local Disk using LlamaIndex.ipynb
Saving Vector Store Embeddings in Local Disk using LlamaIndex.ipynb
 
 
Simple Directory Reader in LlamaIndex.ipynb
Simple Directory Reader in LlamaIndex.ipynb
 
 
Using Gemini Multimodals to work with Text and Images.ipynb
Using Gemini Multimodals to work with Text and Images.ipynb
 
 
Using LlamaIndex and Pinecone to build RAG applications.ipynb
Using LlamaIndex and Pinecone to build RAG applications.ipynb
 
 
Using LlamaParse for optimal RAG in LlamaIndex.ipynb
Using LlamaParse for optimal RAG in LlamaIndex.ipynb
 
 
Using SentenceSplitter to create chunks from text - LlamaIndex.ipynb
Using SentenceSplitter to create chunks from text - LlamaIndex.ipynb
 
 
Working with Ollama using LlamaIndex.ipynb
Working with Ollama using LlamaIndex.ipynb
 
 
Working with Pandas Query Engine using LlamaIndex.ipynb
Working with Pandas Query Engine using LlamaIndex.ipynb
 
 

About

This repository contains hands-on notebooks and end-to-end examples demonstrating how to build Generative AI and RAG (Retrieval-Augmented Generation) applications using LlamaIndex.

Topics

llama-index llamaindex chromadb retrieval-augmented-generation llamaindex-tutorials ollama rag-evaluation google-gemini pinecone-client agentic-ai llamaindex-rag agentic-ai-development llamaindex-workflow
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