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import chromadb | |
class VectorStore: | |
def __init__(self, collection_name) -> None: | |
self.client = chromadb.PersistentClient(path="/tmp/embeddings.vector") | |
self.collection_name = collection_name | |
self.collection = self.client.get_or_create_collection(collection_name) | |
def embed_documents( | |
self, docs: list, metadatas: list, ids: list, refresh: bool = False | |
) -> chromadb.Collection: | |
if refresh: | |
print("Refreshing collection") | |
self.client.delete_collection(name=self.collection.name) | |
self.collection = self.client.get_or_create_collection(self.collection_name) | |
elif len(ids) == self.collection.count(): | |
print("Documents already embedded") | |
return | |
print(f"Embedding {len(ids)} documents..") | |
self.collection.upsert(documents=docs, metadatas=metadatas, ids=ids) | |
def query_collection(self, query, num_results=10): | |
results = self.collection.query( | |
query_texts=[query], | |
n_results=num_results, | |
) | |
return results |
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