mcp: v0.6.0

0.6.0 (2025-12-19)

Features

• core,mcp: add LibSQL vector database support for local-only deployments (#56) (0df83cb)

Dependencies

• The following workspace dependencies were updated
  • dependencies
    • @pleaseai/context-please-core bumped to 0.7.0

core: v0.7.0

0.7.0 (2025-12-19)

Features

• core,mcp: add LibSQL vector database support for local-only deployments (#56) (0df83cb)

mcp: v0.5.0

0.5.0 (2025-12-19)

Features

• add FAISS vector database support for local-only deployments (#41) (d01dba7)
• add support for Qdrant and enhance evaluation scripts (#10) (7ad86cf)
• core: add HuggingFace Transformers embedding provider with LEAF model support (#53) (75307d5)
• core: Add Qdrant vector database support with hybrid search (#4) (033b4de)

Bug Fixes

• mcp: resolve race condition where search fails immediately after indexing (#51) (f26a59d)
• mcp: resolve search_code failure when snapshot is out of sync (#38) (27de02c)

Dependencies

• The following workspace dependencies were updated
  • dependencies
    • @pleaseai/context-please-core bumped to 0.6.0

core: v0.6.0

0.6.0 (2025-12-19)

Features

• add FAISS vector database support for local-only deployments (#41) (d01dba7)
• add support for Qdrant and enhance evaluation scripts (#10) (7ad86cf)
• core: Add comprehensive retry mechanism and batch fallback for Gemini embeddings (#44) (6b4657d)
• core: add HuggingFace Transformers embedding provider with LEAF model support (#53) (75307d5)
• core: Add Qdrant vector database support with hybrid search (#4) (033b4de)

Bug Fixes

• core: handle gRPC NOT_FOUND error in Qdrant hasCollection (#8) (d659a64)
• core: implement BM25 training for Qdrant hybrid search (#9) (201f4ad)
• mcp: resolve race condition where search fails immediately after indexing (#51) (f26a59d)
• mcp: resolve search_code failure when snapshot is out of sync (#38) (27de02c)

mcp: v0.4.0

0.4.0 (2025-12-12)

Features

• add FAISS vector database support for local-only deployments (#41) (d01dba7)
• core: add HuggingFace Transformers embedding provider with LEAF model support (#53) (75307d5)

Bug Fixes

• mcp: resolve race condition where search fails immediately after indexing (#51) (f26a59d)

Dependencies

• The following workspace dependencies were updated
  • dependencies
    • @pleaseai/context-please-core bumped to 0.5.0

core: v0.5.0

0.5.0 (2025-12-12)

Features

• add FAISS vector database support for local-only deployments (#41) (d01dba7)
• core: add HuggingFace Transformers embedding provider with LEAF model support (#53) (75307d5)

Bug Fixes

• mcp: resolve race condition where search fails immediately after indexing (#51) (f26a59d)

mcp: v0.3.2

0.3.2 (2025-10-31)

Dependencies

• The following workspace dependencies were updated
  • dependencies
    • @pleaseai/context-please-core bumped to 0.4.0

core: v0.4.0

0.4.0 (2025-10-31)

Features

• core: Add comprehensive retry mechanism and batch fallback for Gemini embeddings (#44) (6b4657d)

mcp: v0.3.1

0.3.1 (2025-10-30)

Bug Fixes

• mcp: resolve search_code failure when snapshot is out of sync (#38) (27de02c)

Dependencies

• The following workspace dependencies were updated
  • dependencies
    • @pleaseai/context-please-core bumped to 0.3.1

core: v0.3.1

0.3.1 (2025-10-30)

Bug Fixes

• mcp: resolve search_code failure when snapshot is out of sync (#38) (27de02c)