Vector Database

What it means

A database designed to store and search vector representations of information.

Code example

import chromadb
client = chromadb.PersistentClient(path="./db")
col = client.get_or_create_collection("docs")
col.add(ids=["1"], documents=["RAG retrieves context before answering."])
print(col.query(query_texts=["retrieval"], n_results=1))

Why it matters

It lets AI applications efficiently retrieve semantically similar information and is common in RAG systems.

When to use it

• RAG pipelines
• Similarity search
• Recommendation engines

Further reading

• Pinecone Docs
• Chroma Docs