Prompt flow tools for accessing popular vector databases
Project description
Introduction
To store and search over unstructured data, a widely adopted approach is embedding data into vectors, stored and indexed in vector databases. The promptflow-vectordb SDK is designed for PromptFlow, provides essential tools for vector similarity search within popular vector databases, including FAISS, Qdrant, Azure Congnitive Search, and more.
0.2.3
- Implement HTTP caching to improve callback performance.
- Not specifying a value for
embedding_typeproduces the same behavior as selectingNone. - Index Lookup honors log levels set via the
PF_LOGGING_LEVELenvironment variable.
0.2.2
- Introduced new tool -
Index Lookup, to serve as a single tool to perform lookups against supported index types. - Marked
Index Lookupas preview.
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