Showing 241-260 of 267 projects
A Python library that provides a super easy local implementation of the RAG (Retrieval-Augmented Generation) model with Ollama and email capabilities.
RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.
A search-enhanced large language model toolkit for building AI-powered applications and tools.
A Java-based framework for building AI-powered productivity tools, including chatbots, drawing, knowledge management, and more.
Highly performant, modular, and production-ready inference, ingestion, and indexing library built in Rust for AI-powered applications.
A project-based course on developing AI agents using LangChain v1+ and LangGraph for search, RAG, reflection, and code interpreters.
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search and OpenAI for chat and Q&A.
A Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL, useful for AI coding tools.
An Azure-based Retrieval-Augmented Generation (RAG) pattern using Azure Cognitive Search and Azure OpenAI for ChatGPT-style experiences.
A SQL-driven RAG engine that automatically builds a knowledge graph during querying, enabling knowledge-enhanced applications.
An intelligent audit decision system powered by large language models and advanced AI technologies like knowledge graphs and reinforcement learning.
A unified framework for efficient fine-tuning and retrieval augmented generation (RAG) using LLMs.
A powerful document AI question-answering tool that connects to your local Ollama models.
A medical Q&A system built with RAG and large language models, leveraging knowledge graphs and NLP to provide reliable medical advice.
A collaborative spreadsheet-like platform for building and experimenting with AI applications.
A desktop application that allows you to chat with your local documents using large language models.
Flock is a low-code platform for rapidly building AI-powered chatbots, RAG, and multi-agent workflows.
A Python library that boosts cost efficiency, inference accuracy, and cross-domain adaptability for complex QA systems.
A blueprint for building production-ready RAG systems that minimize hallucination, with switchable pipelines.
RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.
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