LightRAG Server also provide an Ollama compatible interfaces, aiming to emulate LightRAG as an Ollama chat model. This allows AI chat bot, such as Open WebUI, to access LightRAG easily. Install from PyPI pip install "lightrag-hku[api]" Installation from Source # create a Python ...
LiHua-World is a dataset specifically designed for on-device RAG scenarios, containing one year of chat records from a virtual user named LiHua. The dataset includes three types of questions: single-hop, multi-hop, and summary, with each question paired with manually annotated answers and support...
conda create -n graphgpt python=3.8 conda activate graphgpt # Torch with CUDA 11.7 pip install torch==1.13.0+cu117 torchvision==0.14.0+cu117 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu117 # To support vicuna base model pip3 install "fschat[model_worker,we...
OPENAI_API_KEY=your_openai_api_key run the following command to start Auto-Deep-Research. COMPLETION_MODEL=gpt-4o auto main Mistral set the MISTRAL_API_KEY in the .env file. MISTRAL_API_KEY=your_mistral_api_key run the following command to start Auto-Deep-Research. COMPLETION_MODEL=mistral...
The implemented filtering processes are mostly based on logprob, if you want to use ChatGPT or GPT-4 as data generators, which don't provide such information, you should modify the filtering process. The core codes are under src. We provide some scripts in scripts directory: run_data_gen-...
conda create -n urbangpt python=3.9.13 conda activate urbangpt#Torch with CUDA 11.7pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2#To support vicuna base modelpip3 install"fschat[model_worker,webui]"#To install pyg and pyg-relevant packagespip install torch_geometric pip ins...
gpt-4o-mini46.55%19.12%35.27%37.77%56.90%20.85%54.08%19.44% MultiHop-RAG Phi-3.5-mini-instruct42.72%31.34%//27.03%11.78%49.96%28.44% GLM-Edge-1.5B-Chat44.44%24.26%///51.41%23.44% Qwen2.5-3B-Instruct39.48%31.69%//21.91%13.73%48.55%33.10% Mini...
# os.environ["OPENAI_API_KEY"] = "" def openai_complete_if_cache( model="gpt-4o-mini", prompt=None, system_prompt=None, history_messages=[], **kwargs ) -> str: Expand Down Expand Up @@ -47,10 +46,10 @@ def openai_complete_if_cache( ... """ result = openai_complete_if...
INFO:httpx:HTTP Request: POSThttps://api.openai.com/v1/chat/completions"HTTP/1.1 200 OK" llm_model_func: I'm just a computer program, so I don't have feelings, but I'm here and ready to help you! How can I assist you today?
INFO:httpx:HTTPRequest:POSThttps://dev-innovation-openai-se.openai.azure.com//openai/deployments/gpt-4o-testing/chat/completions?api-version=2024-02-15-preview"HTTP/1.1 200 OK"Answerfromllm_model_func:I'm just a computer program, so I don'thavefeelings,butI'mhereandreadytohelpyou!HowcanIa...