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| /* | |
| ## Cohere | |
| First run Chroma | |
| ``` | |
| git clone [email protected]:chroma-core/chroma.git | |
| cd chroma | |
| chroma run --path /chroma_db_path | |
| ``` | |
| Then install chroma and cohere | |
| ``` | |
| npm install chromadb | |
| npm install cohere-ai | |
| ``` | |
| Then set your API KEY | |
| ### Basic Example | |
| */ | |
| // import chroma | |
| const chroma = require("chromadb"); | |
| const cohere = require("cohere-ai"); | |
| const main = async () => { | |
| const COHERE_API_KEY = "COHERE_API_KEY"; | |
| const client = new chroma.ChromaClient({ path: "http://localhost:8000" }); | |
| await client.reset(); | |
| const cohereAIEmbedder = new chroma.CohereEmbeddingFunction({ cohere_api_key: COHERE_API_KEY }); | |
| const collection = await client.createCollection({ | |
| name: "cohere_js", | |
| embeddingFunction: cohereAIEmbedder | |
| }); | |
| await collection.add({ | |
| ids: ["1", "2", "3"], | |
| documents: ["I like apples", "I like bananas", "I like oranges"], | |
| metadatas: [{ "fruit": "apple" }, { "fruit": "banana" }, { "fruit": "orange" }], | |
| }); | |
| console.log(await collection.query({ | |
| queryTexts: ["citrus"], | |
| nResults: 1 | |
| })); | |
| // Multilingual Example | |
| const cohereAIMulitlingualEmbedder = new chroma.CohereEmbeddingFunction({ cohere_api_key: COHERE_API_KEY, model: "multilingual-22-12" }); | |
| const collection_multilingual = await client.createCollection({ | |
| name: "cohere_js_multilingual", | |
| embeddingFunction: cohereAIMulitlingualEmbedder | |
| }); | |
| // # 나는 오렌지를 좋아한다 is "I like oranges" in Korean | |
| multilingual_texts = ['Hello from Cohere!', 'مرحبًا من كوهير!', | |
| 'Hallo von Cohere!', 'Bonjour de Cohere!', | |
| '¡Hola desde Cohere!', 'Olá do Cohere!', | |
| 'Ciao da Cohere!', '您好,来自 Cohere!', | |
| 'कोहेरे से नमस्ते!', '나는 오렌지를 좋아한다'] | |
| let ids = Array.from({ length: multilingual_texts.length }, (_, i) => String(i)); | |
| await collection.add({ | |
| ids: ids, | |
| documents: multilingual_texts | |
| }) | |
| console.log(await collection.query({ queryTexts: ["citrus"], nResults: 1 })) | |
| } | |
| main(); | |