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NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retri…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Convert Machine Learning Code Between Frameworks
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
TypeScript Agentic AI Library specialized for LLM Function Calling enhanced by compiler skills.
OpenAPI definitions, converters and LLM function calling schema composer.
Vision infrastructure to turn complex documents into RAG/LLM-ready data
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…
Implementation of all RAG techniques in a simpler way
🤖 An open-source AI assistant answering questions using your docs
LettuceDetect is a hallucination detection framework for RAG applications.
Make websites accessible for AI agents
No fortress, purely open ground. OpenManus is Coming.
Enable LLMs to Program Themselves.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Reliable LLM Memory for AI Applications and AI Agents
Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...
Toolkit for linearizing PDFs for LLM datasets/training
An MCP server that provides LLMs with efficient access to package documentation across multiple programming languages
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.