AI - Agent - Chat with Your CSV using Local LLMs!

🚀 Chat with Your CSV using Local LLMs!
I just built a quick prototype that lets me ask natural language questions about structured data — powered entirely by local resources.
🔧 Stack used:
🧠 Ollama with the Mistral model (running locally)

🐍 LangChain for agent-based querying

📊 Pandas for data handling

💻 All local, no API keys required!
💡 Here's what it does:
Loads a CSV (data.csv)

Creates a DataFrame Agent using LangChain

Lets you ask questions like:

“Which product had the highest sales?”

And returns meaningful answers using the local Mistral model
🔍 Sample code snippet:

llm = Ollama(model="mistral")

agent = create_pandas_dataframe_agent(llm, df, ...)

response = agent.invoke("Which product had the highest sales?")

print(response)
💭 This is a great starting point for building local, private, and intelligent data analysis tools — especially in environments where cloud-based LLMs aren't an option.
#LangChain #Ollama #Pandas #LLM #DataScience #Python #AI #OpenSource #PrivateAI #Mistral #ChatWithYourData

Видео AI - Agent - Chat with Your CSV using Local LLMs! канала Lakshmanan M