Build and deploy a fully-featured, observable, user-facing RAG backend in minutes.
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Updated
Jun 11, 2024 - HTML
Build and deploy a fully-featured, observable, user-facing RAG backend in minutes.
🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
A sample voice bot using LLM.
Documentation for langsmith
A Retrieval-Augmented Generation (RAG) Chatbot built on top of ChatGPT. Just upload your document and ask DocuMate anything about it.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Ailixir is an application that utilises LLMs and custom user input to generate AI agent prototypes specialised in fields such as health, economics, physics etc. The prototypes enable the user, which is an entrepreneur-developer, to compare the results produced by different LLMs.
Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Build LangChain Applications on AWS
Using Langchain, HuggingFace et Mistral to create a RAG that is able to analyse PDF from the Enedis documentation website, and answer question about it. Ongoing project
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
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