Comments (1)
no particular reason, the library in the repo was developed earlier (used to be here), it's a direct port of OpenAI lib and has been optimized over the time for performance. Tokenizers can be injected though, so if one prefers using a different implementation that's possible.
from kernel-memory.
Related Issues (20)
- IDEA: Include directions for building and running Kernel Memory as a container HOT 2
- Search There was an error while searching--update to 0.22.231216.1 HOT 1
- KeyNotFoundException: The given key 'url' was not present in the dictionary. HOT 1
- Make the `Service` available as a NuGet package HOT 8
- SimpleQueues: After the handle exception, it will continue to be executed repeatedly HOT 2
- Error while running example 003-dotnet-Serverless using TextCompletition
- Support Running as Serverless but with Data Persistence HOT 3
- Allow template prompt using "AskAsync" HOT 1
- Semantic Kernel plugin - sample with reference HOT 1
- Answers not related to facts HOT 2
- Feature request: Basic AND/OR support for tags filtering. HOT 3
- Support for Upsert operation in IKernelMemory HOT 5
- KernelMemory Crash with LLamaSharp Embedder during Importing Document HOT 1
- [QUESTION] About security filters scenarios with many groups HOT 8
- KernelMemory: Include tags in answer's "RelevantSources" HOT 2
- [Bug] Incorrect detection of embedding generator
- [Bug] Text embedding generator for LLamaSharp fails during token count. HOT 2
- [Feature Request] Document - load string content HOT 1
- [Feature Request] Indexing existing data sources
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from kernel-memory.