Researcher AI Agent Front-End is an open-source React application providing a user interface for an AI-driven research assistant. It supports natural language queries for literature searches, connects to academic databases such as Semantic Scholar or arXiv via API, and retrieves metadata, abstracts, and full-text content where available. The front-end displays search results in an organized dashboard, allows filtering by year or relevance, and presents AI-generated summaries highlighting key findings. Users can export references in popular bibliography formats like APA, MLA, and BibTeX. With modular components and responsive design, the platform simplifies literature review tasks and enhances research productivity.

ThinkThread empowers developers to add persistent memory to ChatGPT-driven applications. It encodes each exchange using Sentence Transformers and stores embeddings in popular vector stores. On each new user input, ThinkThread performs semantic search to retrieve the most relevant past messages and injects them as context into the prompt. This process ensures continuity, reduces prompt engineering effort, and allows bots to remember long-term details such as user preferences, transaction history, or project-specific information.

Chat-With-CUHKSZ provides a streamlined pipeline for building a domain-specific chatbot over the CUHKSZ knowledge base. After cloning the repository, users configure their OpenAI API credentials and specify document sources, such as campus PDFs, website pages, and research papers. The tool uses LlamaIndex to preprocess and index documents, creating an efficient vectorized store. LangChain orchestrates the retrieval and prompts, delivering relevant answers in a conversational interface. The architecture supports adding custom documents, fine-tuning prompt strategies, and deploying via Streamlit or a Python server. It also integrates optional semantic search enhancements, supports logging queries for auditing, and can be extended to other universities with minimal configuration.

Claude-Code-OpenAI transforms Anthropic’s Claude API into a drop-in replacement for OpenAI models in Python applications. After installing via pip and configuring your OPENAI_API_KEY and CLAUDE_API_KEY environment variables, you can use familiar methods like openai.ChatCompletion.create(), openai.Completion.create(), or openai.Embedding.create() with Claude model names (e.g., claude-2, claude-1.3). The library intercepts calls, routes them to the corresponding Claude endpoints, and normalizes responses to match OpenAI’s data structures. It supports real-time streaming, rich parameter mapping, error handling, and prompt templating. This allows teams to experiment with Claude and GPT models interchangeably without refactoring code, enabling rapid prototyping for chatbots, content generation, semantic search, and hybrid LLM workflows.

Doveiw is an AI-driven Chrome extension that transforms the way you interact with web content. It offers smart search functionality that interprets your queries semantically, allowing you to ask specific questions about the page you're on. Additionally, Doveiw can generate summaries, provide quick explanations, and assist with various tasks, streamlining the browsing process and enhancing your productivity. As it integrates seamlessly with supported websites, users enjoy an intuitive and responsive experience tailored to their needs.

InLinks is a cutting-edge SEO tool utilizing entity-based semantic analysis. It produces optimal content briefs through detailed topic mapping, h tag analysis, and Flesch Kincade modeling. InLinks not only tells you what content to create but shows you how to structure it based on competitor insights. Additionally, it automates internal linking, ensuring each link is contextually relevant and unique, boosting your on-page and on-site SEO performance.

Lilac provides robust features for exploring, filtering, clustering, and annotating data, leveraging LLM-powered insights to enhance data quality. The tool enables users to automate data transformations, remove duplicates, perform semantic searches, and detect PII, ultimately leading to superior AI performance and reliability.

Squirro is a leading generative AI-enabled semantic search and insights cloud company, designed to handle unstructured data. The platform utilizes advanced AI technologies to deliver precise, actionable insights, augment enterprise decision-making, and streamline operations. Squirro continuously comprehends user queries and processes diverse data sources, ensuring relevant and timely information. With applications in various sectors, Squirro aims to boost efficiency and provide data-driven solutions.

VortiX is a sophisticated academic search engine that leverages artificial intelligence to enhance your research experience. With access to over 220 million documents, it allows users to perform keyword and semantic searches, generate citations, and synthesize insights effortlessly. VortiX stands out by offering users the ability to chat with the AI to clarify complex topics, making it an invaluable tool for students, researchers, and professionals in diverse fields. The interface is user-friendly, allowing quick navigation and saving of documents for future reference.

OpenKBS connects to your knowledge sources—PDFs, Google Drive, Notion, Slack, websites—and indexes them using advanced NLP. It then provides an AI chat agent accessible via web or embeddable widget. The agent understands user questions, retrieves relevant information, and delivers concise answers. Admins can customize appearance, configure update schedules, and monitor usage through analytics dashboards. This seamless integration streamlines support, onboarding, and documentation search across your organization.