15350 listings found(showing 14601-14650)
This repository provides comprehensive step-by-step tutorials on LangChain, covering everything from models to full implementation. It is ideal for developers and AI enthusiasts looking to deepen their understanding of LangChain and its applications.
This tool serves as a middleware for LangChain agents, designed to intentionally inject failures into tool and model calls. It is ideal for developers looking to test the resilience of their AI agents under failure conditions.
LangChain Colony provides tools for building collaborative intelligence platforms for AI agents. It is designed for developers looking to integrate LangChain capabilities into their applications.
This repository provides a comprehensive guide to LangChain, featuring modular notebooks that cover various aspects such as Agents, RAG, Tools, and more. It is ideal for developers and data scientists looking to deepen their understanding of LangChain and its applications in generative AI.
LangChain Graphiti Integration enables seamless connectivity between LangChain and Graphiti for enhanced knowledge graph capabilities. It is designed for developers looking to integrate AI-driven insights into their applications using knowledge graphs.
This tool helps users manage their investment by splitting a specified amount and providing stock options based on current prices. It is ideal for investors looking to make informed purchasing decisions using automated tools.
This repository provides example projects that showcase the capabilities of the LangChain library through Jupyter notebooks. It is ideal for developers looking to understand and implement various functionalities of LangChain in their own projects.
This repository provides tools for integrating LangChain with the Search1API service, enabling efficient search capabilities. It is ideal for developers looking to enhance their applications with advanced search functionalities using LangChain.
This tool automates content generation and publishing by leveraging OpenAI's GPT-3 model through the LangChain API. It is designed for content creators and publishers looking to streamline their article creation and formatting processes.
This tool demonstrates how to leverage LangChain for intelligent tool-calling to fetch dynamic information like the current date and time. It is ideal for developers looking to enhance their AI applications with real-time data integration.
This example demonstrates how to utilize LangChain4j to reference database information in responses from a Large Language Model. It is designed for developers looking to integrate database capabilities into their AI applications using Java.
This tutorial provides a comprehensive guide on using Langflow with Streamlit for building interactive applications. It is ideal for developers looking to enhance their skills in creating AI-driven web interfaces.
This repository provides a sample chatbot application that utilizes Langflow as the backend service and Chainlit for the user interface. It is designed for developers looking to implement conversational AI solutions using these frameworks.
This tool allows users to run local models from the Text Generation Web UI within LangFlow. It is designed for developers looking to integrate text generation capabilities into their applications seamlessly.
Langflow Library offers a collection of custom components designed for enhancing interactions with software engineering tools. It is ideal for developers looking to integrate these tools into their workflows seamlessly.
Langflow OpenAI Proxy is a service that enables interaction with Langflow workflows through the OpenAI API. It is designed for developers looking to integrate AI capabilities into their Langflow projects.
Langflow RAG provides a backend API integrated with a Streamlit frontend for creating chatbot interfaces. It is designed for developers looking to implement Retrieval-Augmented Generation (RAG) pipelines and evaluate their performance.
This tool converts Langflow-Flows into Langgraph-Graphs, streamlining the transition between these two frameworks. It is ideal for developers looking to integrate and utilize both Langflow and Langgraph in their projects.
Langflow with NLTK and Qdrant DB provides a framework for integrating natural language processing with a vector database. It is designed for developers looking to build AI applications that leverage both NLTK for text processing and Qdrant for efficient data storage and retrieval.
This repository provides an integration for Langfuse with Pydantic AI, enabling seamless data validation and settings management. It is designed for developers looking to enhance their applications with robust AI capabilities using Pydantic.
This template provides a foundational structure for building LLM agents using the LangChain ecosystem. It is designed for developers looking to create and integrate agents with observability and tool capabilities.
This repository provides integration of LangGraph with AWS Bedrock, enabling the development of agents with multi-channel processing capabilities. It is designed for developers looking to leverage AWS services for building advanced AI agents.
This benchmark suite provides a systematic way to compare AI agent frameworks using statistical methods. It is ideal for developers and researchers looking to evaluate and choose between LangGraph and CrewAI for their projects.
LangSecure provides policy-based security for LangFlows, ensuring that workflows are secure and compliant. It is designed for developers looking to enhance the security of their AI-driven applications.
LangTree is a web-based interpretability tool designed for large language models (LLMs) using Hugging Face and Inseq. It is ideal for researchers and developers looking to enhance the transparency and understanding of LLM outputs.
Lariska is a multi-agent orchestrator designed to facilitate the coordination of various AI agents. It is ideal for developers looking to manage and deploy multiple agents in a cohesive environment.
This Microsoft Teams bot formats LaTeX into readable mathematics, enhancing communication in academic and technical discussions. It is ideal for educators and students who frequently use LaTeX in their presentations and collaborations.
Lattice is a high-performance orchestration environment designed for parallel AI agent swarms, providing a seamless workspace for developers. It is ideal for those looking to enhance their AI agent capabilities with a reactive frontend and a robust backend.
This tool is an AI chatbot designed to capture leads for businesses using OpenAI technology. It is particularly useful for companies looking to integrate their lead capture process with Zoho CRM.
This tool leverages AI to classify leads and extract structured information from messages, enhancing real estate workflows. It is ideal for real estate professionals looking to automate lead management and organization.
This repository provides a comprehensive guide to learning OpenAI's Agent SDK through practical examples. It is ideal for developers and enthusiasts looking to enhance their skills in building AI agents using OpenAI technologies.
This repository provides a comprehensive tutorial on building AI agents using the OpenAI Agents SDK. It is ideal for developers and enthusiasts looking to enhance their skills in AI agent development.
This repository provides a comprehensive step-by-step guide for integrating OpenAI ChatKit with self-hosted backends using React/Next.js and FastAPI/Python. It is ideal for developers looking to enhance their applications with advanced ChatKit features such as theming, widgets, and actions.
This repository documents a learning journey through the OpenAI Agent SDK, featuring essential concepts and practical code samples. It is ideal for developers looking to understand and implement AI agents using OpenAI's tools.
Learnt OpenAI Agents SDK For Quiz provides a framework for building quiz applications using OpenAI agents. It is designed for developers looking to create interactive quiz experiences with AI integration.
This tool provides an agentic swarm workflow designed to assist with legal compliance tasks. It is ideal for legal professionals and compliance officers looking to automate and streamline their processes.
This tool connects LegionIO to Microsoft Teams using the Graph API and Bot Framework, enabling seamless communication and integration. It is designed for developers looking to enhance their applications with Microsoft Teams functionality.
This repository demonstrates how to use C# SDKs generated by LibLab to integrate services with Semantic Kernel for LLM reasoning over custom data sources. It is ideal for developers looking to enhance their applications with AI capabilities using .NET technologies.
Linked Intel is a smart automation tool that scrapes LinkedIn profiles to generate personalized messages using AI. It is ideal for recruiters, sales teams, and marketers looking to enhance their outreach effectiveness.
LinkedIn Agent is an AI-powered tool that automates LinkedIn message management by analyzing conversations and generating response suggestions. It is designed for professionals looking to streamline their LinkedIn interactions and improve communication efficiency.
This tool automates job searches on LinkedIn using Claude agents and Playwright. It is designed for job seekers looking to streamline their application process through intelligent automation.
The LinkedIn Content Agent automates the process of transcribing YouTube URLs and posting content to LinkedIn using Playwright. It is designed for users looking to streamline their content sharing on LinkedIn with minimal manual effort.
This tool enables users to fetch LinkedIn profiles using an AI agent that integrates GoogleSearch and Tavily Search API. It is designed for developers looking to automate the process of searching for LinkedIn profiles based on user input.
Lite RAG MCP is a lightweight framework designed for managing retrieval-augmented generation tasks using the Qdrant database. It is ideal for developers looking to implement efficient AI solutions with a focus on data retrieval and processing.
LitSynth is an AI-powered co-pilot designed to automate the synthesis of academic literature. It is ideal for researchers and students looking to streamline their literature review process using advanced multi-agent systems.
This starter template enables developers to build powerful local LLM agents that can call tools using LangGraph and llama-cpp-python. It is ideal for those looking to create customized AI chatbots and function-calling applications in Python.
LlamaDiff is a code review tool that analyzes git diffs between branches using local or cloud LLMs. It is designed for developers looking to enhance their code review process with AI assistance.
This repository provides a starter example for using LlamaIndex with a local model, demonstrating how to load documents and create a search index. It is ideal for developers looking to understand the integration of LlamaIndex with local models for building search engines.
LLM Agent GraphQL is a tool designed to create agents that utilize the native GraphQL capabilities of LangChain. It is ideal for developers looking to integrate GraphQL functionalities into their AI agents.
This repository provides a collection of projects that integrate Language Models with APIs using the LangChain framework. It is designed for developers looking to experiment with LLM-powered tools for tasks such as data retrieval and automation.