Apps tagged with 'langchain'

Privacy-focused open-source chatbot enables unlimited document uploads, multi-user support, vector database integration, and intelligent chat from existing files.

AgentGPT allows you to configure and deploy Autonomous AI agents. Name your own custom AI and have it embark on any goal imaginable. It will attempt to reach the goal by thinking of tasks to do, executing them, and learning from the results.

ChatLabs is a comprehensive AI platform that provides access to over 30 leading AI models in one place, including GPT-4, Claude, Gemini, Llama 3, DALL-E 3, and Stable Diffusion.

LLMChat offers a versatile platform to engage with various AI models, enhance your experience with plugins, and create custom assistants.

One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq].

Deep Infra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructures for deep-learning models.

Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more.

LangFlow is a GUI for LangChain , designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box..

Helicone is the open-source LLM observability platform for developers to monitor, debug, and improve production-ready applications.

We make websites accessible for AI agents by extracting all interactive elements, so agents can focus on what makes their beer taste better.

If you've tried using an LLM to automate web interactions, you've probably run into questions like:

Toolkit is an easy way to generate and use AI plugins. Generate code for LangChain plugins by just describing what they should do in plain text.

Train AI models with your data in minutes, not weeks, and get better performance at lower cost. Integrates with open-source and proprietary foundation models.