ametnes/nesis
Your AI Powered Enterprise Knowledge Partner. Designed to be used at scale from ingesting large amounts of documents formats such as pdfs, docx, xlsx, png, jpgs, tiff, mp3, mp4, jpeg. Integrates with s3, Windows Shares, Google Drive and more.
Implements a RAG (Retrieval-Augmented Generation) architecture that converts documents into vector embeddings using HuggingFace models, then queries them via pluggable LLMs like OpenAI for context-aware responses. Features role-based access control, multi-tenant user session management, and deployment flexibility across Docker, Kubernetes, and hybrid cloud/on-premises environments using connectors for S3, MinIO, Sharepoint, and Windows file shares.
No commits in the last 6 months.
Stars
55
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 03, 2025
Commits (30d)
0
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