Comprehensive domain-specific AI Tools for Every Need

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domain-specific AI

  • AgenticSearch is a Python library enabling autonomous AI agents to perform Google searches, synthesize results, and answer complex queries.
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    What is AgenticSearch?
    AgenticSearch is an open-source Python toolkit for building autonomous AI agents that perform web searches, aggregate data, and produce structured answers. It integrates with large language models and search APIs to orchestrate multi-step workflows: issuing queries, scraping results, ranking relevant links, extracting key passages, and summarizing findings. Developers can customize agent behavior, chain actions, and monitor execution to build research assistants, competitive intelligence tools, or domain-specific data gatherers without manual browsing.
    AgenticSearch Core Features
    • Autonomous Google Search query orchestration
    • Result retrieval, scraping, and ranking
    • LLM-based content extraction and summarization
    • Customizable multi-step agent workflows
    • Integration with LangChain and other LLM frameworks
    • Streaming and asynchronous execution support
  • Agent API by HackerGCLASS: a Python RESTful framework for deploying AI agents with custom tools, memory, and workflows.
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    What is HackerGCLASS Agent API?
    HackerGCLASS Agent API is an open-source Python framework that exposes RESTful endpoints to run AI agents. Developers can define custom tool integrations, configure prompt templates, and maintain agent state and memory across sessions. The framework supports orchestrating multiple agents in parallel, handling complex conversational flows, and integrating external services. It simplifies deployment via Uvicorn or other ASGI servers and offers extensibility with plugin modules, enabling rapid creation of domain-specific AI agents for diverse use cases.
  • A Java-based AI agent leveraging Azure OpenAI and LangChain to answer banking queries by analyzing uploaded PDFs.
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    What is Agent-OpenAI-Java-Banking-Assistant?
    Agent-OpenAI-Java-Banking-Assistant is an open-source Java application that uses Azure OpenAI for large language model processing and vector embeddings for semantic search. It loads banking PDFs, generates embeddings, and performs conversational QA to summarize financial statements, explain loan agreements, and retrieve transaction details. The sample illustrates prompt engineering, function calling, and integration with Azure services to build a domain-specific banking assistant.
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