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Open Deep Research: A Configurable Open-Source Deep Research Agent
Open Deep Research is a fully open-source, configurable agent designed for deep research applications. It supports various model providers, search tools, and Model Context Protocol (MCP) servers, offering performance comparable to other popular deep research agents. Developed by LangChain, it leverages LangGraph for robust agent orchestration and provides extensive customization options.
rag-from-scratch: Building Retrieval Augmented Generation Systems
This repository by LangChain AI offers a comprehensive guide to understanding and implementing Retrieval Augmented Generation (RAG) from scratch. It includes a series of Jupyter notebooks and an accompanying video playlist, making complex RAG concepts accessible for practical application. The resource highlights RAG's advantages over fine-tuning for factual recall in Large Language Models (LLMs).
Article-Assistant--RAG-Telegram-Bot: AI-Powered Knowledge Base via Telegram
The Article Assistant is a sophisticated RAG (Retrieval-Augmented Generation) Telegram bot designed to create interactive knowledge bases from various documents. Users can upload PDFs or provide URLs, and the bot will provide AI-powered answers with source citations. This tool efficiently transforms static content into a dynamic, queryable resource.
Langsmith-sdk: Client SDK for LLM Debugging, Evaluation, and Monitoring
The Langsmith-sdk provides client SDKs for interacting with the LangSmith platform, enabling robust debugging, evaluation, and monitoring of language models and intelligent agents. It offers native integrations with both LangChain Python and LangChain JS, making it an essential tool for LLM application development.
Helicone: Open Source LLM Observability Platform and AI Gateway
Helicone is an open-source LLM observability platform and AI Gateway for AI engineers. It provides one-line code integration to monitor, evaluate, and experiment with large language models, offering features like cost tracking, prompt management, and intelligent routing. The platform supports a wide range of inference providers and frameworks, simplifying LLM development and deployment.
Opik: Open-Source LLM Observability, Evaluation, and Optimization
Opik is an open-source platform by Comet designed to streamline the lifecycle of LLM applications. It provides comprehensive tools for debugging, evaluating, and monitoring RAG systems and agentic workflows. Developers can leverage its tracing, automated evaluations, and production-ready dashboards to build and optimize generative AI applications.