Refactor: Remove Pinecone and enhance vector store backend support

- Removed all Pinecone references, adapters, and documentation to align with open-source, self-hosted focus.
- Removed PineconeAdapter and related dependencies.
- Updated VectorStore to enforce supported backends (FAISS, Weaviate, Qdrant, Milvus, InMemory).
- Updated cookbooks (e.g., 13_Vector_Store.ipynb) to use Weaviate/FAISS examples instead of Pinecone.
- Updated core documentation (modules.md, rchitecture.md, etc.) to reflect backend changes.
- Added new tests (	est_pinecone_removal.py, 	est_vector_store_deepdive.py) to verify removal and validate remaining backends.
- Verified all vector store tests pass.

docs/CodeExamples.md

@@ -32,7 +32,7 @@ from semantica import Semantica
 core = Semantica(
     llm_provider="openai",
     embedding_model="text-embedding-3-large",
-    vector_store="pinecone",
+    vector_store="weaviate",
     graph_db="neo4j"
 )
 
@@ -357,7 +357,7 @@ semantic_chunks = embedder.semantic_chunk(documents)
 embeddings = embedder.generate_embeddings(semantic_chunks)
 
 # Store in vector database
-vector_store = core.get_vector_store("pinecone")
+vector_store = core.get_vector_store("weaviate")
 vector_store.store_embeddings(semantic_chunks, embeddings)
 
 # Semantic search