kf-himpunetha's Stars
BerriAI/litellm
Python SDK, Proxy Server to call 100+ LLM APIs using the OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
explodinggradients/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
jina-ai/vectordb
A Python vector database you just need - no more, no less.
huggingface/notebooks
Notebooks using the Hugging Face libraries 🤗
Azure-Samples/openai-python-enterprise-logging
zylon-ai/private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
redis-developer/ArXivChatGuru
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
h2oai/h2ogpt
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
langflow-ai/langflow
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
databrickslabs/migrate
Old scripts for one-off ST-to-E2 migrations. Use "terraform exporter" linked in the readme.
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
redis-developer/redis-product-search
Visual and semantic vector similarity with Redis Stack, FastAPI, PyTorch and Huggingface.
redis-developer/langchain-retail-chatbot
In this tutorial we build a conversational retail shopping assistant that helps customers find items of interest that are buried in a product catalog.
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
deepset-ai/haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
openai/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
breadchris/chatgpt-plugin-examples
Code examples from the ChatGPT plugin documentation.
milvus-io/milvus
A cloud-native vector database, storage for next generation AI applications
squidarth/robo-dev-environments
Automatically Generated Dev Environments using GPT-4!
ruoccofabrizio/azure-open-ai-embeddings-qna
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.
Azure-Samples/azure-search-python-samples
Azure Search Python sample code
re50urces/Awesome-AI
A curated list of awesome things related to artificial intelligence tools
hwchase17/chat-your-data
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
hwchase17/langchain-hub