🎨 Diagram as Code for prototyping cloud system architectures

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Get your documents ready for gen AI

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

An open-source RAG-based tool for chatting with your documents.

Build Multimodal AI Agents with memory, knowledge and tools. Simple, fast and model-agnostic.

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Simple, unified interface to multiple Generative AI providers

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Rapidly build AI apps in Python

A language model programming library.

A distributed, fault-tolerant task queue

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

A framework for serving and evaluating LLM routers - save LLM costs without compromising quality

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

A simple, easy-to-hack GraphRAG implementation

ETL, Analytics, Versioning for Unstructured Data

Build and query dynamic, temporally-aware Knowledge Graphs

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

A system for agentic LLM-powered data processing and ETL

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting