#Python Package

Facilitates effective semantic code search and interactive chatting with the codebase through command-line tools. Seamlessly syncs the vector database with code updates for rapid local operations without data leaks. Utilizes cutting-edge technologies such as Langchain, Treesitter, and Faiss to enable comprehensive embeddings and LLMs for engaging code interactions. Offers complete local operations using resources like Sentence-transformers and llama.cpp, with optional support for services like OpenAI and Azure OpenAI. Suitable for developers aiming to optimize their workflow, enhance system security, and employ machine learning to comprehend and efficiently manage code.

Generate is a Python package providing access to top generative models across platforms like OpenAI and Azure. Its unified API supports diverse outputs including text, image, and speech generation. With options for synchronous and asynchronous processing, and built-in tools like Chainlit UI and rate control, it suits developers aiming for efficient model integrations. Generate emphasizes minimal dependencies and high-quality code, enhancing the development environment for generative AI projects.

Explore a Python package for Bayesian time series forecasting and inference, featuring models such as Exponential Smoothing and Local Global Trend with advanced sampling methods like Markov-Chain Monte Carlo. Access extensive documentation and community support for efficient implementation, suitable for developers and data scientists looking for intuitive probabilistic programming tools.