Comments (1)
Closing this.
from chroma.
Related Issues (20)
- [Feature Request]: Universal Sentence Encoder(USE) Embedding Function HOT 1
- [Bug]: Warning raised when query to Persistent Client HOT 4
- [Feature Request]: Use AWS S3 or Azure Blob Storage for persisting chroma db
- [Bug]: Chromadb will fail to return the embeddings with the closest results unless I set n_results to a sufficiently large number. HOT 3
- [Bug]: Error creating and inserting to collections using Persistent Client HOT 3
- [Feature Request]: Query max distance in addition to n_results
- [Bug]: getCollection missing DefaultEmbeddingFunction (JavaScript client)
- [Feature Request]: Faster default EF on apple silicon
- [Feature Request]: Passing pre-computed embeddings directly to VectorStore HOT 2
- [Bug]: Cosine Similarity: Unusual Negative Distance in Same Sentence Search HOT 2
- [Bug]: The Write-ahead Log (embeddings_queue) doesn't get cleaned up HOT 4
- [Feature Request]: Ability to close local clients
- [Bug]: When using AzureOpenAI for embedding `azure_deployment` needs to be provided as well HOT 1
- Extending Search Filter to Include Multiple Metadata Fields HOT 3
- what happens if I call chroma.from_documents twice? HOT 4
- [Bug]: ONNXRuntime error on multiple document upserts HOT 2
- [Bug]: add_documents gets slower with each call HOT 2
- exec /docker_entrypoint.sh: no such file or directory[Install issue]: HOT 1
- [Feature Request]: Transformer-base Embedding Function HOT 1
- [Bug]: TypeError: Type is not JSON serializable: numpy.float64 chromadb/api/fastapi.py HOT 5
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