2858e0a344
Features: - Vector search with Pinecone + Vertex AI embeddings - Document relationships (link, unlink, related, graph) - Auto-link with LLM analysis - Intelligent merge with Gemini Modular structure: - clients/: Pinecone, Vertex AI - tools/: core, relations, stats - utils/: validation, logging Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
27 lines
484 B
TOML
27 lines
484 B
TOML
[project]
|
|
name = "rag-mcp"
|
|
version = "1.0.0"
|
|
description = "RAG Memory MCP Server with relationship graph support"
|
|
readme = "README.md"
|
|
requires-python = ">=3.11"
|
|
dependencies = [
|
|
"fastmcp>=0.1.0",
|
|
"pinecone>=5.0.0",
|
|
"python-dotenv>=1.0.0",
|
|
"requests>=2.31.0",
|
|
]
|
|
|
|
[project.optional-dependencies]
|
|
dev = [
|
|
"pytest>=8.0.0",
|
|
"ruff>=0.1.0",
|
|
]
|
|
|
|
[tool.ruff]
|
|
line-length = 100
|
|
target-version = "py311"
|
|
|
|
[tool.ruff.lint]
|
|
select = ["E", "F", "I", "W"]
|
|
ignore = ["E501"]
|