CHIRABRATA/vagacore
VagaCore — Context-aware NLP engine for extracting structured, time-aware facts from unstructured text (RAG-ready)something
This tool helps financial analysts, market researchers, and data journalists quickly extract critical business facts from lengthy, unstructured text like earnings reports, news articles, or internal documents. You feed it a block of text, and it outputs a clean, structured list of facts, including who did what, when, and with what value (e.g., "Apple reported revenue of $81.8 billion in Q3 2024"). This allows for rapid data analysis, populating dashboards, or preparing inputs for AI systems.
Use this if you need to reliably pull specific, time-aware financial or business metrics and events from large amounts of text, filtering out noise like hypothetical statements or negations.
Not ideal if your primary need is general-purpose text summarization, sentiment analysis, or extracting non-factual information such as opinions or abstract concepts.
Stars
12
Forks
—
Language
HTML
License
—
Category
Last pushed
Apr 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/CHIRABRATA/vagacore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
veyliss/ai-localbase
一个本地优先的AI知识库系统（RAG），用于把本地文档接入辅导搜索与大模型对话流程。目前支持md、txt、pdf（文本）类型
Cloud2BR-MSFTLearningHub/RAG-ChatBot-Implementation
This repository contains example of a RAG chat bot with a basic architecture (designed for...
LakshmiSravyaVedantham/RAG-Based-Chatbot-with-Streamlit
Chat with any document (PDF, CSV, DOCX) using RAG — LangChain + Streamlit + OpenAI
yifanfeng97/Hyper-Extract
Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and...
Tendo33/markio
a powerful document processing service that seamlessly converts a wide range of file formats...