Day 14 (Part 2) 🔄 Pinecone vs. ChromaDB: When to Use What in Your RAG Stack + Fully Deployed ChromaDB Demo on Streamlit

what if you want to:

• Move faster with no authentication hassles?

• Build a local, lightweight prototype without worrying about billing or API keys?

• Keep your data fully in-memory or self-hosted, without relying on an external service?

That’s where ChromaDB shines.

Today, we’re flipping the script.

We’ll build the same RAG pipeline — this time with ChromaDB as our vector DB backend — and walk through the pros, cons, and ideal use cases of each.

TL;DR:

• Use Pinecone when you’re building at scale, need SLAs, and want hosted reliability.

• Use ChromaDB when you’re building quick demos, learning, or running local/private apps.

🚀 Today’s Goal

We’ll build a fully working RAG app using:

• Streamlit for UI

• OpenAI for text embedding + GPT completion

• ChromaDB for local vector storage + semantic search

All deployed on Streamlit Cloud with zero DB setup.

🛠️ RAG App Demo: Powered by ChromaDB

🌐 Live App:

https://chromadb-demo-instrovate.streamlit.app/

🧪 How the App Works (Behind the Scenes)

✅ Step 1: Add Some Data

• Hit “Embed & Upload Data”

• The app adds sample knowledge (like "Microsoft Fabric is an all-in-one analytics solution") into ChromaDB

• The data is auto-embedded using OpenAI’s text-embedding-3-small model

✅ Step 2: Ask a Question

• Enter a natural language question like:
  “What is Microsoft Fabric?”

• ChromaDB retrieves the most relevant embedded snippets

• Results are shown along with semantic distance scores
  (Lower score = better match)

✅ Step 3: You Get:

• Instant, local semantic search

• Live, working demo of a RAG pipeline with no DB server or cloud costs

• Easy to extend: You can plug in your own docs, PDFs, or web pages later

✅ Example: Try This Live on the App

🌐

https://chromadb-demo-instrovate.streamlit.app

You can demo this in 3 quick steps:

Step 1: Click “Embed & Upload Data”

Copy the below text and click on embed and upload data .

This will upload the following sample text snippets into ChromaDB:

text

1. Microsoft Fabric is an all-in-one analytics solution for enterprises. 2. Power BI is a visualization tool within Microsoft Fabric. 3. ChromaDB is a vector database used for semantic search.

You will get the success upload message as below

Step 2: Enter a Question

Type in a natural question like:

❓ “What is Microsoft Fabric used for?”

or

❓ “What tool does Fabric use to visualize data?”

Step 3: View the Result

You’ll see results like:

Distance (lower is better): 0.01321 Text: Microsoft Fabric is an all-in-one analytics solution for enterprises.

Distance (lower is better): 0.01876 Text: Power BI is a visualization tool within Microsoft Fabric

🧠 This shows how:

• The query was embedded

• ChromaDB matched it to the closest meaning (not exact keywords)

• You retrieved relevant answers in seconds — without hardcoding anything