Langchain
Showing 19 of 19 projects
A fair-code workflow automation platform with 400+ integrations, native AI capabilities, and self-hosting options.
A framework for building agents and LLM-powered applications by chaining together interoperable components and integrations.
A Python utility for converting PDFs, Office documents, images, audio, and more into structured Markdown for LLM consumption.
A Python library for parsing diverse document formats into structured data, optimized for integration with generative AI applications.
Assemble, configure, and deploy autonomous AI agents directly in your web browser.
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows with tracing and automated evaluations.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows.
A customizable AI chatbot agent that ingests PDF documents, stores embeddings in a vector database, and answers user queries using LangChain and LangGraph.
An open-source platform for building and deploying GPT/LLM-powered chatbots and AI assistants.
An open-source Java library that simplifies integrating LLMs into Java applications through a unified API and comprehensive toolbox.
The Go implementation of LangChain, enabling developers to build LLM-powered applications through composable components.
A semantic cache library for LLM queries that reduces API costs by 10x and boosts response speed by 100x.
An open-source chatbot console for creating and managing unlimited custom chatbots powered by GPT and open-source LLMs.
An AI-powered research assistant that performs deep, agentic research using multiple LLMs and search engines with full local deployment and encryption.
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
An open-source framework for building multimodal AI systems that enable large language models to understand and chat about videos and images.
An open-source platform for AI engineering with OpenTelemetry-native LLM observability, GPU monitoring, guardrails, evaluations, and prompt management.
An open-source framework that enables AI agents to learn from experience through a persistent learning loop, improving performance over time.
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