Comments (3)
Oceania2018
commented on May 27, 2024
LangChan style like implementation will be done in our BotSharp project.
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ChezzPlaya
commented on May 27, 2024
@Oceania2018 Why will be this done within the BotSharp project? In my opinion the LangChain kind of Agent stuff shall not be a part of a Chatbot framework but rather an independent project, so itt can be used together with the LllamaSharp and/or BotSharp.
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Oceania2018
commented on May 27, 2024
@ChezzPlaya Kind of agree. The problem is we've already been working on BotSharp. No time to maintain a LangChain like .NET implementation. We can extend the Agent's capabilities by keeping adding Plugin. like Semantic search.
This code base is the Agent management.
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Related Issues (20)
- Segmentation fault on Docker HOT 2
- [LLamaSharp.Backend.Cuda12 v0.10.0] Unable to load the model onto multiple GPUs HOT 3
- Unable to use lora in llamasharp but can use it in llama.cpp HOT 8
- AMD GPUs Support
- Exception error when sending any prompts. HOT 7
- Parallel Inferencing? HOT 27
- Information on new important updates in llama.cpp HOT 1
- LLava_shared.dll in LLamaSharp.Backend.Cuda12 is for CPU only HOT 3
- [llava] How to clear imagepaths ? HOT 9
- [Native Lib] Support specifying LLaVA native library path
- Can not intercept all the log messages with llama_log_set HOT 2
- [Feature] Support GritLM to get embeddings
- Add a best practice example for RAG HOT 4
- Clip model from LLaVA is not using GPU, but LLaVA model is using GPU in the same piece of code. HOT 4
- Whisper support HOT 7
- AccessViolationException HOT 4
- LLamaSharp.Backend.OpenCL 0.11.2: GGML_ASSERT llama.cpp:14093: hparams.n_embd_head_v % ggml_blck_size(type_v) == 0 HOT 4
- [Feature Request] Support using embeddings as input HOT 2
- LLamaSharp 0.11.2 Exception HOT 9
- IndexOutOfRangeException when calling IKernelMemory.AskAsync() HOT 8
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