Mahdi Bazrafshan
5fd19c12d9
Why: - Operators need Cloud and Local Embedding Models with stable ids, dimensions, and defaults. Changes: - Add Embedding Model Registry; Ollama client; env defaults for model, Ollama host, and Neighbor Expansion knobs. Impact: - New installs default to text-embedding-3-large; OLLAMA_BASE_URL required for Local provider. Co-authored-by: Cursor <cursoragent@cursor.com>
38 lines
860 B
Plaintext
38 lines
860 B
Plaintext
# OpenAI API authentication (required)
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OPENAI_API_KEY=sk-...
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# Qdrant configuration
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QDRANT_URL=http://localhost:6333
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QDRANT_API_KEY=
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# Default cloud Embedding Model (registry id / OpenAI model name)
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EMBEDDING_MODEL=text-embedding-3-large
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LLM_MODEL=gpt-4o-mini
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# Local Ollama embeddings (Active model switched in Admin)
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OLLAMA_BASE_URL=http://192.168.10.10:11435
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# Retrieval defaults
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TOP_K=5
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# Neighbor Expansion for fixed_size only (ADR-0023); 0 = off
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NEIGHBOR_PREV=0
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NEIGHBOR_NEXT=0
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# LLM generation parameters
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TEMPERATURE=0.0
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MAX_TOKENS=1024
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# Chunking defaults
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CHUNK_SIZE=512
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CHUNK_OVERLAP=50
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# Semantic chunking parameters
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SEMANTIC_THRESHOLD=0.3
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SEMANTIC_MIN_CHUNK_SIZE=3
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# SQLite database path
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DATABASE_URL=sqlite:///./data/chunking_benchmark.db
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# Text PDF gate (reject scanned/image PDFs)
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PDF_MIN_TOTAL_CHARS=100
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PDF_MIN_MEDIAN_CHARS_PER_PAGE=40
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