This is a simple demo of embedding search. It splits a Paul Graham essay into chunks, gets embeddings for each chunk, loads into chromadb, and then you can query it with any phrase (searching the document)
This uses Langchain, ChromaDB, All-MiniLM-L6-v2
pip install requirements.txtpy main.pyAll code is under an MIT License.