uptrain-ai / uptrainLinks
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
☆2,334Updated last year
Alternatives and similar repositories for uptrain
Users that are interested in uptrain are comparing it to the libraries listed below
Sorting:
- 🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring sa…☆965Updated last year
- Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.☆864Updated last year
- Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chro…☆2,975Updated last year
- Data-Driven Evaluation for LLM-Powered Applications☆515Updated 10 months ago
- LLM Testing SDK that helps you write and run tests to monitor your LLM app in production☆131Updated last year
- VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of y…☆695Updated last year
- A comprehensive guide to building RAG-based LLM applications for production.☆1,842Updated last year
- irresponsible innovation. Try now at https://chat.dev/☆487Updated last year
- The simplest way to serve AI/ML models in production☆1,092Updated this week
- A tool for evaluating LLMs☆428Updated last year
- Evaluation and Tracking for LLM Experiments and AI Agents☆2,955Updated 2 weeks ago
- Adding guardrails to large language models.☆6,103Updated this week
- Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastr…☆1,863Updated last week
- Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.☆864Updated last year
- An LLM-powered advanced RAG pipeline built from scratch☆854Updated last year
- Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone☆1,026Updated last year
- Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)☆398Updated 2 years ago
- LLMFlows - Simple, Explicit and Transparent LLM Apps☆704Updated 9 months ago
- Turn expensive prompts into cheap fine-tuned models☆2,757Updated last year
- High quality resources & applications for LLMs, multi-modal models and VectorDBs☆883Updated 3 weeks ago
- Developer APIs to Accelerate LLM Projects☆1,741Updated last year
- Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.☆2,423Updated 2 weeks ago
- An open-source visual programming environment for battle-testing prompts to LLMs.☆2,894Updated 3 weeks ago
- A lightweight logger for machine learning teams to log images and predictions in production.☆154Updated 2 years ago
- Get 100% uptime, reliability from OpenAI. Handle Rate Limit, Timeout, API, Keys Errors☆690Updated 2 years ago
- Legacy project of an analytics platform for LLM-generated content☆436Updated 4 months ago
- Interactively explore unstructured datasets from your dataframe.☆1,208Updated last week
- AIConfig is a config-based framework to build generative AI applications.☆1,069Updated last year
- Open-source tool to visualise your RAG 🔮☆1,199Updated 11 months ago
- Prompt engineering for developers☆693Updated last year