1930ad664a
MCP server exposing Oracle 23ai as a RAG vector store backed by OCI GenAI Cohere Embed v4 (1536 dims). Three tools: - insert_document: embed + store a text chunk - update_document: re-embed + update an existing chunk - search_similar: cosine similarity search (VECTOR_DISTANCE) Uses python-oracledb thin mode with wallet (config_dir only). Configured for Claude Code via ~/.claude/settings.json.
22 lines
494 B
TOML
22 lines
494 B
TOML
[build-system]
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requires = ["setuptools>=68", "wheel"]
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build-backend = "setuptools.backends.legacy:build"
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[project]
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name = "oracle-26ai-vector"
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version = "0.1.0"
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description = "MCP server for Oracle 23ai vector store with OCI GenAI Cohere Embed v4"
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requires-python = ">=3.11"
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dependencies = [
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"mcp[cli]>=1.0.0",
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"oracledb>=2.0.0",
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"oci>=2.100.0",
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"python-dotenv>=1.0.0",
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]
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[project.scripts]
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oracle-26ai-vector = "src.server:main"
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[tool.setuptools.packages.find]
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where = ["."]
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