Chroma Collection

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I want to create a script that recreates a chromadb collection - delete previous version and creates a new from scratch. client.delete_collection(name=COLLECTION_NAME) collection = client.

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One solution would be use TextSplitter to split the documents into multiple chunks and store it in disk. split it into chunks. text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) docs = text_splitter.split_documents(documents) You can also use OpenSource Embeddings like SentenceTransformerEmbeddings for creation of embeddings.

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collection = chroma_client. create_collection (name = "my_collection") For this example, we want to generate embeddings from text. OpenAI's ada-002 model is popular, free, and a quick signup. Grab your API key and come back. Chroma's API is polymorphic (it can run in the browser or server-side), but OpenAIs is not. So run this example server-side.

3701 Chroma Collection

Arguments: ids - The ids of the embeddings you wish to add. embeddings - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional. metadatas - The metadata to associate with the embeddings. When querying, you can filter on this metadata.

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Once the chroma client is created, we need to create a chroma collection to store our documents. A collection can be created or retrieved using get_or_create_collection method. collection = client.get_or_create_collection(name = "test", embedding_function = CustomEmbeddingFunction()) After creating the collection, we can add documents to it.

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Name Type Description; params: Object: The parameters for the query. params.include? IncludeEnum[]: Optional array of fields to include in the result, such as "metadata" and "document".

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Everything you love about Chroma, now available serverlessly in the cloud. 1 line code change. Scales up and down to zero. Usage-based (free for now!) Reserve your place on the waitlist.. collection = client.create_collection("sample_collection") # Add docs to the collection. Can also update and delete. Row-based API coming soon! collection.

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Chroma Collection

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Chroma Collection

Chroma - the open-source embedding database. The fastest way to build Python or JavaScript LLM apps with memory! The core API is only 4 functions (run our 💡 Google Colab or Replit template ): import chromadb # setup Chroma in-memory, for easy prototyping. Can add persistence easily! client = chromadb.

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Chroma Collection

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4701 Chroma Collection

[Collection(name=Students), Collection(name=Students2), Collection(name=chroma_info)] To access any new collection, you can use get_collection with the collection's name. vector_collections_new = client.get_collection(name="chroma_info") We can delete a collection using the client function delete_collection and specify the collection name.