Vector Database Learning

A collection of projects exploring vector databases and semantic search using ChromaDB and sentence transformers.

Projects

1. ChromaDB Example

Basic examples demonstrating ChromaDB fundamentals with different datasets:

• Grocery items - Simple food item similarity search
• Employee database - Search employees by skills, experience, and roles
• Books collection - Find books by themes, genres, and descriptions

2. Food Search

An advanced RAG-powered food recommendation chatbot that combines:

• ChromaDB vector database for semantic food search
• Anthropic Claude LLM for intelligent, conversational responses
• Natural language food queries with nutritional information

Tech Stack

• Vector Database: ChromaDB
• Embeddings: Sentence Transformers (all-MiniLM-L6-v2)
• LLM: Anthropic Claude
• Language: Python 3.12+

Getting Started

Each project has its own setup instructions. Navigate to the respective directory:

# For basic ChromaDB examples
cd chromadb_example

# For the food search chatbot
cd food_search

License

MIT