#langchain

Learn to transform website content into an AI-driven Q&A chatbot via Langchain and the OpenAI API. This repository provides scripts for building semantic embeddings, direct Q&A, and chat functions. Langchain processes the sitemap to generate semantic vectors within a Faiss knowledge base. Zendesk integration is included for improved response accuracy. This tool is designed for boosting user engagement through precise automated information retrieval.

This tool enables automatic generation of code documentation using OpenAI and local LLMs like Llama.cpp and Ollama across multiple languages such as Python, Java, and Rust. It integrates with Treesitter and supports both Azure OpenAI and local models, simplifying documentation with minimal terminal commands. Supporting models like GPT-4 while ensuring data security in local implementations, the project welcomes contributions and issue reports for ongoing improvement.

Funcchain enhances cognitive system development through intuitive integration and dynamic model support, optimizing output and adaptability in various applications.

PDFChat facilitates interaction with PDF documents using advanced AI technologies such as langchain, OpenAI Embeddings, and GPT-3.5. The app uses Streamlit for an intuitive interface that ensures smooth document interaction. Users need to clone the repository, set up a conda environment, and configure the OpenAI API for installation. This tool is suitable for those looking for a straightforward method to converse with and extract insights from PDFs, offering a novel approach to document engagement. Discover the easy setup at http://localhost:8501.