bhattbhavesh91/timeseries-rag
Chat with Time-Series Data in PostgreSQL using LlamaIndex and Timescale Vector
This project helps data analysts and engineers explore their time-series data stored in PostgreSQL databases using natural language. You input questions in plain English, and it provides insights derived directly from your data, making complex data analysis more accessible. It's designed for anyone needing to quickly understand trends, anomalies, or patterns in time-series data without writing complex queries.
No commits in the last 6 months.
Use this if you want to ask questions directly to your time-series data and receive answers without needing advanced SQL knowledge.
Not ideal if your data is not in a PostgreSQL database or if you require highly custom, programmatic data manipulation rather than conversational exploration.
Stars
12
Forks
2
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 24, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/bhattbhavesh91/timeseries-rag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
emarco177/documentation-helper
Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
janus-llm/janus-llm
Leveraging LLMs for modernization through intelligent chunking, iterative prompting and...
JetXu-LLM/llama-github
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and...
Vasallo94/ObsidianRAG
RAG system to query your Obsidian notes using LangGraph and local LLMs (Ollama)