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File size: 1,369 Bytes
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# Professional RAG System Configuration
app:
name: "Professional RAG Document Assistant"
version: "1.0.0"
debug: false
max_upload_size: 50 # MB
max_concurrent_uploads: 3
# Model configurations
models:
embedding:
name: "sentence-transformers/all-MiniLM-L6-v2"
max_seq_length: 256
batch_size: 32
device: "auto" # auto, cpu, cuda
reranker:
name: "cross-encoder/ms-marco-MiniLM-L-6-v2"
max_seq_length: 512
batch_size: 16
enabled: true
# Document processing
processing:
chunk_size: 512
chunk_overlap: 50
min_chunk_size: 100
max_chunks_per_doc: 1000
supported_formats: ["pdf", "docx", "txt"]
# Search configuration
search:
default_k: 10
max_k: 20
vector_weight: 0.7
bm25_weight: 0.3
rerank_top_k: 50
final_top_k: 10
# Caching
cache:
embedding_cache_size: 10000
query_cache_size: 1000
cache_ttl: 3600 # seconds
enable_disk_cache: true
cache_dir: "./cache"
# UI settings
ui:
theme: "soft"
title: "Professional RAG Assistant"
description: "Upload documents and ask questions with AI-powered retrieval"
max_file_size: "50MB"
allowed_extensions: [".pdf", ".docx", ".txt"]
show_progress: true
show_analytics: true
# Logging
logging:
level: "INFO"
format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
file: "logs/rag_system.log"
max_size: "10MB"
backup_count: 5 |