Vector stores 101 for RAG

What you'll do

A vector store holds embeddings so retrieval can find similar text. AshnaAI embeds your uploaded files. You do not provision a separate Pinecone project for the how-to path.

This guide walks through what is a vector database in AshnaAI. You stay in chat. You do not need a separate desktop of buttons for each file job.

Before you start

Open AshnaAI and start a new chat.

How to what is a vector database

Follow the steps below in order. Confirm in chat before AshnaAI sends, posts, or writes to Tally.

Step 1. Read the definition

A vector store holds embeddings so retrieval can find similar text. AshnaAI embeds your uploaded files. You do not provision a separate Pinecone project for the how-to path.

Step 2. Open AshnaAI

Sign in at https://app.ashna.ai and start a chat, or open the agent builder.

Step 3. Try the job

Upload a knowledge PDF and ask a question that requires a quote.

Step 4. What to expect

This is not a bring-your-own Pinecone setup guide.

Keep in mind

This is not a bring-your-own Pinecone setup guide.

Related guides

Also read embeddings in plain english.

Also read rag done right ingestion chunking.

More AI glossary how-tos live on What is RAG, hallucination, and prompt engineering.

Try it now

Open app.ashna.ai and run this job in a new chat. New accounts can start from app.ashna.ai/signup.