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In this tutorial, we demonstrate how to build a powerful and intelligent question-answer system by combining the strengths of Tavily Search API, Chroma, Google Gemini LLMS and the Langchain frame. The pipeline utilizes real-time web search using Tavily, semantic document cache with Chroma Vector large and contextual response generation through the gemini model. These tools … Read more

The growth in the development and implementation of large language models (LLMs) is closely linked to architectural innovations, large data sets and hardware improvements. Models such as DeepSEEK-V3, GPT-4O, Claude 3.5 Sonnet and Llama-3 have shown how scaling improves reasoning and dialogue functions. As their performance increases, computing, memory and communication band width require, which … Read more

Long-graph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a coherent “Sverm.” It is based on Langgraph, a frame for the construction of robust, state-of-the-art agent work, to enable a specialized form of multi-agent architecture. In a SVERM, agents with different specializations deliver dynamic control to each other when the … Read more

When generative AI continues to redefine digital workflows across industries, LigendWeb’s ‘AI Global Report: Global Sector Trends On Generative AI’ (ending May 9, 2025) Offers a comprehensive snapshot of changing user engagement patterns. The data-driven report highlights the remarkable growth of coding agents, disruptive influences on Edtech and an unexpected downturn in legal AI platforms. … Read more