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| <p align="center"> | |
| <a href="https://trychroma.com"><img src="https://user-images.githubusercontent.com/891664/227103090-6624bf7d-9524-4e05-9d2c-c28d5d451481.png" alt="Chroma logo"></a> | |
| </p> | |
| <p align="center"> | |
| <b>Chroma - the open-source embedding database</b>. <br /> | |
| This package is for the the Python HTTP client-only library for Chroma. This client connects to the Chroma Server. If that it not what you are looking for, you might want to check out the <a href="https://github.com/chroma-core/chroma ">full library</a>. | |
| </p> | |
| ```bash | |
| pip install chromadb-client # python http-client only library | |
| ``` | |
| To connect to your server and perform operations using the client only library, you can do the following: | |
| ```python | |
| import chromadb | |
| # Example setup of the client to connect to your chroma server | |
| client = chromadb.HttpClient(host="localhost", port=8000) | |
| collection = client.create_collection("all-my-documents") | |
| collection.add( | |
| documents=["This is document1", "This is document2"], | |
| metadatas=[{"source": "notion"}, {"source": "google-docs"}], # filter on these! | |
| ids=["doc1", "doc2"], # unique for each doc | |
| embeddings = [[1.2, 2.1, ...], [1.2, 2.1, ...]] | |
| ) | |
| results = collection.query( | |
| query_texts=["This is a query document"], | |
| n_results=2, | |
| # where={"metadata_field": "is_equal_to_this"}, # optional filter | |
| # where_document={"$contains":"search_string"} # optional filter | |
| ) | |
| ``` | |
| ## License | |
| [Apache 2.0](./LICENSE) | |