Announcement
Local Deep Research: AI-Powered Cited Report Generation
An AI-powered research assistant that generates comprehensive, cited reports from diverse knowledge sources using iterative analysis with any LLM.
Project Introduction
Summary
Local Deep Research is a tool that leverages AI to automate the process of researching complex topics across multiple sources and producing detailed, cited reports.
Problem Solved
Finding and synthesizing information from multiple disparate sources for reports is time-consuming, overwhelming, and often lacks proper citation. This project automates and structures this process.
Core Features
Iterative Deep Research
Takes complex questions and conducts iterative, deep research to synthesize answers.
Diverse Source Integration
Aggregates information from academic databases, scientific repositories, web content, and private documents.
Cited Report Generation
Formats research findings into structured, well-cited reports.
LLM Agnostic
Designed to work flexibly with various large language models.
Tech Stack
Use Cases
Leverage Local Deep Research in various scenarios requiring in-depth, multi-source analysis and structured reporting.
Academic Literature Review & Synthesis
Details
Input a research question (e.g., 'Impact of climate change on coastal erosion in the Mediterranean'). The tool will query academic databases and repositories, synthesize findings, and generate a report with citations.
User Value
Saves significant time on manual search and synthesis, ensuring comprehensive coverage and proper attribution.
Internal Document Analysis & Reporting
Details
Upload a collection of internal documents (reports, emails, meeting notes) and ask questions to generate a summary or analysis report based solely on these private sources.
User Value
Quickly extract key insights from large internal document archives without manual review.
Competitive Analysis Reporting
Details
Research a competitor by querying public web data, news articles, and industry reports to generate a comprehensive competitive analysis report.
User Value
Automate the information gathering and structuring for competitive intelligence.
Recommended Projects
You might be interested in these projects
ginuerzhgost
This project provides a robust and efficient solution for automating complex workflows, designed for scalability and ease of use.
apachedatafusion
Apache DataFusion is a portable, highly extensible Rust-native query engine that supports SQL and DataFrames. It's built upon Apache Arrow and designed for high performance data processing.
prestodbpresto
Presto is an open-source distributed SQL query engine designed for running interactive analytical queries against various data sources, including Hadoop, S3, Cassandra, MySQL, and more, without moving data.