Legal Tech Chat is an AI-driven chat application tailored for legal use cases such as contract review, compliance checks, and due diligence. It supports document ingestion in various formats, including PDF and Word, and employs advanced natural language processing to answer user queries, highlight important clauses, and generate concise summaries of lengthy legal texts. The agent can also compare multiple documents, track changes, and provide risk assessments for specified terms. By integrating seamlessly into existing workflows, it helps legal teams reduce manual labor, detect potential issues early, and accelerate decision-making during negotiations or regulatory audits.

BeeAI is a web-based platform empowering businesses and individuals to build and manage AI agents without writing code. It supports ingesting documents like PDFs and CSVs, integrating with APIs and tools, managing agent memory, and deploying agents as chat widgets or via API. With analytics dashboards and role-based access, you can monitor performance, iterate on workflows, and scale your AI solutions seamlessly.

SmartRAG is a modular Python library designed for retrieval-augmented generation (RAG) workflows with large language models. It combines document ingestion, vector indexing, and state-of-the-art LLM APIs to deliver accurate, context-rich responses. Users can import PDFs, text files, or web pages, index them using popular vector stores like FAISS or Chroma, and define custom prompt templates. SmartRAG orchestrates the retrieval, prompt assembly, and LLM inference, returning coherent answers grounded in source documents. By abstracting the complexity of RAG pipelines, it accelerates development of knowledge base Q&A systems, chatbots, and research assistants. Developers can extend connectors, swap LLM providers, and fine-tune retrieval strategies to fit specific knowledge domains.