NeumTry/NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
Provides end-to-end RAG pipeline orchestration with pluggable connectors for diverse data sources (Postgres, S3, websites, Sharepoint) and vector stores (Weaviate, Pinecone, Qdrant), along with configurable loaders, chunkers, and metadata selectors. Supports both local development via Python SDK and cloud-based distributed execution for handling billions of documents at scale with real-time synchronization capabilities.
867 stars and 149 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
867
Forks
51
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 15, 2024
Monthly downloads
149
Commits (30d)
0
Dependencies
28
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/NeumTry/NeumAI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
firebase/genkit
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used...
oracle/ai-optimizer
GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL
garyblankenship/awesome-php-ai
A curated list of PHP libraries and tools for AI, Machine Learning, and Natural Language...
altengineer/awesome-ai-repositories
A curated list of open source repositories for AI Engineers
pmady/llmops
🚀 The Ultimate Curated List of LLMOps Tools, Frameworks, and Resources - A comprehensive...