Vector Database | Pinecone Tutorial Part4 - Semantic Search, Scoring, Fe...

Vector Database|Pinecone Tutorial Part4 - Similarity/Semantic Search, Scoring, Fetch, Delete & Update Vectors

In this video, we dive into powerful operations like:

🔍 Perform Similarity/Semantic search - Query helps us do semantic search,

💡 How scoring is used to return result with metric function like cosine

📦 Fetch specific vectors by ID,

❌ Delete vectors from your index,  

🔁 Modify existing vectors by re-upserting — fetch, modify, and upsert.

✅ Upsert embedding vectors - Adds or Modify vectors with new data

Whether you're using Pinecone, Chroma, FAISS, or Weaviate, these concepts are universal to working with vector databases in AI, LLM apps, and recommendation systems.