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  1. # Example environment variables for Cognio
    2. 

  2. # Copy this to .env and customize as needed
    3. 

  3. 

  4. # Database
    5. 

  5. DB_PATH=./data/memory.db
    6. 

  6. 

  7. # Embeddings
    8. 

  8. # Recommended models (from fastest/lightest to most accurate):
    9. 

  9. # - all-MiniLM-L6-v2 (384-dim, FAST - good for small/medium datasets)
    10. 

  10. # - paraphrase-MiniLM-L6-v2 (384-dim, better paraphrase detection)
    11. 

  11. # - paraphrase-multilingual-MiniLM-L12-v2 (384-dim, multilingual)
    12. 

  12. # - paraphrase-multilingual-mpnet-base-v2 (768-dim, multilingual, higher quality but slower)
    13. 

  13. EMBED_MODEL=all-MiniLM-L6-v2
    14. 

  14. EMBED_DEVICE=cpu
    15. 

  15. EMBEDDING_CACHE_PATH=./data/embedding_cache.pkl
    16. 

  16. 

  17. # API Server
    18. 

  18. API_HOST=0.0.0.0
    19. 

  19. API_PORT=8080
    20. 

  20. # API_KEY=your-secret-key-here  # Uncomment to enable API key authentication
    21. 

  21. 

  22. # Search
    23. 

  23. DEFAULT_SEARCH_LIMIT=5
    24. 

  24. SIMILARITY_THRESHOLD=0.4
    25. 

  25. HYBRID_ENABLED=true
    26. 

  26. HYBRID_ALPHA=0.6
    27. 

  27. HYBRID_MODE=rerank
    28. 

  28. HYBRID_RERANK_TOPK=100
    29. 

  29. 

  30. # Performance
    31. 

  31. MAX_TEXT_LENGTH=10000
    32. 

  32. BATCH_SIZE=32
    33. 

  33. SUMMARIZE_THRESHOLD=50
    34. 

  34. 

  35. # Logging
    36. 

  36. LOG_LEVEL=info
    37. 

  37. 

  38. # Auto-tagging with LLM
    39. 

  39. AUTOTAG_ENABLED=true
    40. 

  40. LLM_PROVIDER=groq
    41. 

  41. 

  42. # Groq Settings (RECOMMENDED - Free tier: 14,400 requests/day)
    43. 

  43. # Get your API key from: https://console.groq.com/keys
    44. 

  44. GROQ_API_KEY=your-groq-api-key-here
    45. 

  45. # Recommended models (from cheapest to most powerful):
    46. 

  46. # - llama-3.1-8b-instant ($0.05/$0.08 per 1M tokens - FASTEST, cheapest)
    47. 

  47. # - gemma2-9b-it ($0.2/$0.2 per 1M tokens - balanced)
    48. 

  48. # - llama-4-scout-17b-16e-instruct ($0.11/$0.34 per 1M tokens - vision support)
    49. 

  49. # - openai/gpt-oss-20b ($0.1/$0.5 per 1M tokens - reasoning, prompt caching 50%)
    50. 

  50. # - openai/gpt-oss-120b ($0.15/$0.75 per 1M tokens - BEST quality, reasoning, caching 50%)
    51. 

  51. GROQ_MODEL=openai/gpt-oss-120b
    52. 

  52. 

  53. # OpenAI Settings (alternative - more expensive but widely available)
    54. 

  54. # Get your API key from: https://platform.openai.com/api-keys
    55. 

  55. # OPENAI_API_KEY=your-openai-api-key-here
    56. 

  56. # OPENAI_MODEL=gpt-4o-mini
    57. 

  57. 

  58. # Summarization
    59. 

  59. SUMMARIZATION_ENABLED=true
    60. 

  60. # Methods: extractive (clustering-based, no API calls) or abstractive (LLM-based, uses API)
    61. 

  61. SUMMARIZATION_METHOD=abstractive
    62. 

  62. SUMMARIZATION_EMBED_MODEL=all-MiniLM-L6-v2
    63. 

  63.