Braintrust is an observability, evaluation, and discovery platform built for AI agents and LLM applications. Instead of tracking uptime and latency like traditional monitoring tools, it focuses on how AI output quality changes over time. It targets engineering, product, and data teams that ship LLM-based features and need to know when a model drifts or […]
LangChain
6 tools selected.
Weaviate is an open-source, AI-native vector database built by Weaviate B.V. It stores and searches unstructured data such as text, images, audio, and video using vector embeddings alongside structured attributes. Teams use it to build semantic search, retrieval-augmented generation, and stateful AI agent applications. The system converts unstructured objects into dense vector representations, either through […]
Qdrant is an open source vector similarity search engine and vector database written in Rust. It stores, manages, and queries high-dimensional vector embeddings produced by machine learning models. Teams building retrieval-augmented generation, semantic search, or recommendation systems use it as core infrastructure. The database pairs dense or sparse vector representations with JSON metadata payloads. It […]
Ragas is an open-source framework built by Exploding Gradients for evaluating and monitoring Retrieval Augmented Generation (RAG) pipelines. It gives developers automated metrics to assess retrieval quality and generation quality without relying solely on manual review. The tool addresses a common problem in RAG evaluation. When a chatbot gives a wrong answer, teams often cannot […]
Weights and Biases is an AI developer platform for building, managing, evaluating, and monitoring AI models, AI agents, and generative AI applications. The platform functions as a system of record for machine learning workflows. It covers traditional ML experiment tracking, hyperparameter optimization, and dataset versioning, alongside features built for large language models and agentic applications. […]
Langfuse is an open-source AI engineering platform built to help teams build, monitor, and improve large language model applications and agents. It combines observability, prompt management, evaluation tools, and analytics dashboards in one workspace. The platform covers the lifecycle of generative AI tools, from early prototypes to production deployments. The platform addresses a specific problem. […]