ai-station/requirements.txt

chainlit==1.3.2
pydantic==2.9.2
ollama>=0.1.0
asyncpg>=0.29.0
psycopg2-binary
qdrant-client>=1.10.0
sqlalchemy>=2.0.0
greenlet>=3.0.0
sniffio
aiohttp
alembic
pymupdf
python-dotenv
httpx>=0.24.0
aiofiles>=23.0.0
langchain>=0.0.208
boto3>=1.28.0
azure-storage-file-datalake>=12.14.0
postgress version connect 2025-12-26 12:14:27 +00:00			`chainlit==1.3.2`
stage1 2025-12-26 15:19:12 +00:00			`pydantic==2.9.2`
new css 2025-12-29 05:50:06 +00:00			`ollama>=0.1.0`
pre Oauth2 2025-12-26 16:48:51 +00:00			`asyncpg>=0.29.0`
Primo salvataggio dopo il ripristino 2025-12-25 14:54:33 +00:00			`psycopg2-binary`
postgress version connect 2025-12-26 12:14:27 +00:00			`qdrant-client>=1.10.0`
pre Oauth2 2025-12-26 16:48:51 +00:00			`sqlalchemy>=2.0.0`
			`greenlet>=3.0.0`
stage1 2025-12-26 15:19:12 +00:00			`sniffio`
pre Oauth2 2025-12-26 16:48:51 +00:00			`aiohttp`
			`alembic`
feat: PDF support with RAG integration - Added PyMuPDF (fitz) for PDF text extraction - Implemented chunking system for large documents - RAG search now works with PDF documents - Added Qdrant vector store for semantic search - Chainlit UI updated with PDF processing indicators 2025-12-26 19:38:43 +00:00			`pymupdf`
new css 2025-12-29 05:50:06 +00:00			`python-dotenv`
			`httpx>=0.24.0`
			`aiofiles>=23.0.0`
			`langchain>=0.0.208`
			`boto3>=1.28.0`
			`azure-storage-file-datalake>=12.14.0`