Release/v0.2.0 omni rag

setup.py

@@ -2,21 +2,47 @@
 from setuptools import setup, find_packages
 
 setup(
-    name="vectordbpipe",  # Corrected to lowercase
-    version="0.2.0",      # Updated Version for Omni-RAG Architecture
+    name="vectordbpipe",
+    version="0.2.1",
     author="Yash Desai",
     author_email="desaisyash1000@gmail.com",
-    description="A modular text embedding and vector database pipeline for local and cloud vector stores.",
+
+    # ─── PyPI short description (appears in search results) ───────────────────
+    description=(
+        "vectorDBpipe v0.2.1 — Enterprise Omni-RAG SDK. "
+        "Tri-Processing Ingestion + 4 AI Engines (Vector RAG, Vectorless RAG, "
+        "GraphRAG, Structured JSON Extract) + 15+ data connectors. "
+        "One pipeline. One API. Zero glue code."
+    ),
+
+    # ─── Long description (PyPI page body) ────────────────────────────────────
     long_description=open("README.md", encoding="utf-8").read() if os.path.exists("README.md") else "",
     long_description_content_type="text/markdown",
-    packages=find_packages(exclude=["vectorDBpipe-tui", "vectorDBpipe-tui.*", "frontend-vectordbpipe", "frontend-vectordbpipe.*", "tests*"]),
+
+    # ─── Project URLs (shown in PyPI sidebar) ─────────────────────────────────
+    project_urls={
+        "Homepage":      "https://github.com/yashdesai023/vectorDBpipe",
+        "Source":        "https://github.com/yashdesai023/vectorDBpipe",
+        "Bug Tracker":   "https://github.com/yashdesai023/vectorDBpipe/issues",
+        "Changelog":     "https://github.com/yashdesai023/vectorDBpipe/releases",
+        "Documentation": "https://github.com/yashdesai023/vectorDBpipe#readme",
+    },
+
+    # ─── Packages ─────────────────────────────────────────────────────────────
+    packages=find_packages(exclude=[
+        "vectorDBpipe-tui", "vectorDBpipe-tui.*",
+        "frontend-vectordbpipe", "frontend-vectordbpipe.*",
+        "tests*",
+    ]),
     include_package_data=True,
+
+    # ─── Dependencies ─────────────────────────────────────────────────────────
     install_requires=[
         "PyYAML>=6.0",
         "faiss-cpu>=1.7.4",
         "sentence-transformers>=2.2.2",
         "transformers>=4.28.1",
-        "torch>=2.2.0",  # Allow any version of torch from 2.2.0 onwards
+        "torch>=2.2.0",
         "torchvision",
         "chromadb>=0.4.22",
         "pinecone-client>=3.0.0",
@@ -31,13 +57,48 @@
         "pydantic>=2.0.0",
         "boto3>=1.26.0",
         "markdown>=3.4.0",
-        "requests>=2.32.3"
+        "requests>=2.32.3",
     ],
+
     python_requires=">=3.8",
     license="MIT",
+
+    # ─── PyPI Classifiers ─────────────────────────────────────────────────────
     classifiers=[
-        "Programming Language :: Python :: 3",
+        # Maturity
+        "Development Status :: 4 - Beta",
+
+        # Audience
+        "Intended Audience :: Developers",
+        "Intended Audience :: Science/Research",
+
+        # Topics
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+        "Topic :: Software Development :: Libraries :: Python Modules",
+        "Topic :: Database",
+        "Topic :: Text Processing :: Indexing",
+
+        # License
         "License :: OSI Approved :: MIT License",
+
+        # Python versions
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
+
         "Operating System :: OS Independent",
+        "Natural Language :: English",
+    ],
+
+    # ─── Search Keywords ──────────────────────────────────────────────────────
+    keywords=[
+        "rag", "retrieval-augmented-generation", "vector-database",
+        "llm", "embeddings", "langchain", "faiss", "chromadb", "pinecone",
+        "graphrag", "knowledge-graph", "nlp", "ai", "genai", "etl",
+        "semantic-search", "document-qa", "openai", "groq", "sentence-transformers",
+        "vectordbpipe", "omni-rag", "tri-processing",
     ],
 )