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Research4J

Research4J is a Java library that automates research workflows by analyzing queries, fetching citations from configured sources, selecting reasoning strategies and integrating with LLMs.

Independent OpenViST project profile, based on linked sources.

Research4J — OpenViST project profile in Search & Research AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a Java application needs a configurable research pipeline that combines an LLM with a citation source.

Who it is for

  • Java developers adding research workflows to applications.
  • Teams building domain-specific research assistants that need query analysis and citation fetching.

Documented uses

  • Analyze a research query and produce an answer with citations.
  • Keep context across related research queries in a session.
  • Personalize responses using a profile's expertise level and preferences.
  • Configure reasoning methods and output as Markdown, JSON or tables.
Before you choose

Requirements & limits

The repository is public and identifies the project as MIT-licensed. The documented prerequisite is Java 21 or later, plus API keys for at least one LLM provider and one citation source.

  • The library requires both an LLM provider and a citation source to be configured.
  • Documented LLM options include OpenAI and Google Gemini; citation options include Google Search and Tavily.
  • Google Search setup requires a Programmable Search Engine ID and API key.
  • The README describes virtual-thread-based execution and requires Java 21 or later.
  • The documented integration formats are Markdown, JSON and tables.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Configure Google Search credentials for Research4J

Prepare the Google Programmable Search Engine credentials that Research4J uses to fetch citations.

Before you start

  • A Google Programmable Search Engine
  • A Programmable Search Engine API key

Steps

  1. Create a Custom Search Engine through Google Programmable Search Engine.

  2. Copy the CSE ID from its dashboard and configure it as GOOGLE_CSE_ID.

  3. Generate a Programmable Search Engine API key and configure it as GOOGLE_SEARCH_API_KEY.

Expected outcome

The Google Search citation-source credentials are configured for Research4J.

Guide limitations

  • Research4J also requires credentials for at least one LLM provider.
  • This guide covers Google Search setup, not a complete application build or execution.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
bhavuklabs/research4j · Official homepage title · retained in its source language