implementing chroma

memory
Sashin 1 year ago
parent 072e5f364c
commit 1911d8db94

@ -1,27 +1,10 @@
from swarms.memory import chroma from swarms.memory import chroma
# loader = CSVLoader( chromadbcl = chroma.ChromaClient()
# file_path="../document_parsing/aipg/aipg.csv",
# encoding="utf-8-sig",
# )
# docs = loader.load()
chromadbcl.add_vectors(["This is a document", "BONSAIIIIIII", "the walking dead"])
# Initialize the Qdrant instance results = chromadbcl.search_vectors("zombie", limit=1)
# See qdrant documentation on how to run locally
qdrant_client = chroma.ChromaClient()
qdrant_client.add_vectors(["This is a document", "BONSAIIIIIII", "the walking dead"])
results = qdrant_client.search_vectors("zombie", limit=1)
print(results) print(results)
# qdrant_client.add_vectors(docs)
#
# # Perform a search
# search_query = "Who is jojo"
# search_results = qdrant_client.search_vectors(search_query)
# print("Search Results:")
# for result in search_results:
# print(result)

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