GenAI-Basics

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Gen AI, Agentic Workflows and Prompt Engineering - Langchain, Langgraph, Checkpointing, Guardrails, MCP/A2A

Overview

What is GenAI-Basics

GenAI-Basics is a comprehensive framework that integrates Generative AI, agentic workflows, and prompt engineering using tools like Langchain and Langgraph, enabling the development of advanced AI applications.

How to Use

To use GenAI-Basics, developers can leverage its components such as LLMs, databases, and frameworks to create AI applications. Users can implement prompt engineering and agentic workflows to enhance AI interactions and functionalities.

Key Features

Key features include support for multiple LLMs (e.g., GPT-4, Claude), integration with various databases (Qdrant, Neo4j), advanced AI techniques like RAG and memory-aware agents, security measures like prompt filtering, and tools for orchestrating AI agents.

Where to Use

GenAI-Basics can be applied in various fields such as legal tech, customer service, data analysis, and any domain requiring intelligent AI solutions that involve document processing and interactive chatbots.

Use Cases

Use cases include AI-powered legal document assistants, chart builders, resume roasting, candidate search tools, and website chatbots that facilitate user interaction.

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