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README.md

@@ -31,15 +31,25 @@ local_dir = snapshot_download(repo_id="hyperdemocracy/usc-chroma-vecs-v1-chunks-
 client = chromadb.PersistentClient(path=local_dir + "/chromadb")
 collection = client.get_collection("usc")
 
-# Query the database
+# Query the database (embedding function is already configured)
 results = collection.query(
     query_texts=["your query here"],
     n_results=10
 )
+
+# Get collection metadata to see embedding model info
+metadata = collection.metadata
+print(f"Embedding model: {metadata['embedding_model']}")
+print(f"Chunk size: {metadata['chunk_size']}")
 ```
 
 ## Configuration
 
-- Chunk size and overlap settings are encoded in the dataset name
-- Embedding model information is included in the dataset name
-- This follows the hyperdemocracy dataset naming convention
+This ChromaDB includes the following configuration stored as collection metadata:
+- **Embedding model**: The SentenceTransformer model used for embeddings
+- **Chunk size**: Character count for text chunking
+- **Chunk overlap**: Overlap between adjacent chunks  
+- **Chunking version**: Version of the chunking algorithm
+- **Embedding version**: Version of the embedding process
+
+The embedding function is automatically configured when loading the collection, enabling direct text queries without manual embedding.