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Sleeping
File size: 1,433 Bytes
d4cf06c bacf7a6 d4cf06c 3c72c9d d4cf06c 456400f bacf7a6 456400f 3c72c9d 60f2a58 3c72c9d d4cf06c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import os
import warnings
from dotenv import load_dotenv
load_dotenv()
GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
if not GROQ_API_KEY:
warnings.warn("GROQ_API_KEY not set β LLM calls will fail")
_BASE = os.path.dirname(os.path.abspath(__file__))
GROQ_MODEL = "llama-3.3-70b-versatile"
DOCS_DIR = os.path.join(_BASE, "docs")
# ββ ChromaDB (replaces FAISS) ββββββββββββββββββββββββββ
CHROMA_PATH = os.path.join(_BASE, "chroma_db")
CHROMA_COLLECTION = "rag_docs"
# ββ BM25 (still persisted with pickle) ββββββββββββββββ
BM25_PATH = os.path.join(_BASE, "bm25.pkl")
# ββ SQLite session memory (replaces in-memory dict) βββ
SQLITE_PATH = os.path.join(_BASE, "sessions.db")
# ββ Model names βββββββββββββββββββββββββββββββββββββββ
EMBEDDER_NAME = "all-MiniLM-L6-v2"
RERANKER_MODEL = "cross-encoder/ms-marco-MiniLM-L-6-v2"
# ββ Chunking ββββββββββββββββββββββββββββββββββββββββββ
CHUNK_SIZE = 500
CHUNK_OVERLAP = 50
# ββ Retrieval βββββββββββββββββββββββββββββββββββββββββ
TOP_K = 5
MAX_RETRIES = 3
MAX_HISTORY_TURNS = 5
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