50%
Quicker research for 150,000+ members
AI-powered search assistant accelerates analysis across 50K+ psychology studies
Download the case studyQuicker research for 150,000+ members
Improvement in context retention
Uptime with seamless user access
A premier psychological science and research organization struggled with an inefficient manual search process across its vast repository of research papers, journals, and articles.
They needed an intelligent solution to enhance research capabilities while maintaining strict standards for accuracy and bias-free search results and interpretations of psychological research.
The transformation from manual search to an AI-powered platform presented several challenges.
Handling data in 50,000+ research documents across disciplines, multiple languages, and formats like graphs, tables, and images.
Accurately processing psychological terminology, methodologies, and theoretical frameworks while maintaining context throughout multi-turn conversations.
Maintaining factual correctness in AI-generated responses to cover diverse perspectives while preventing biases in research interpretations.
We developed an AI-powered research platform, enabling seamless natural language querying, summarization, multi-document analysis, and more.
Combining Langchain with Azure OpenAI models enabled natural language querying with persistent context awareness across multiple interactions for complex research questions.
Pinecone efficiently stored document embeddings, while AWS services managed deployment, indexing, and infrastructure to support 150,000+ concurrent users with real-time performance.
Tested multiple LLMs before selecting one, then fine-tuned it with proprietary psychological databases to optimize performance for domain-specific research queries.
Crafted specialized prompts to categorize different query types while ensuring gender-neutral language and adherence to psychological industry standards for inclusivity and accuracy.
The new platform transformed research capabilities with measurable improvements.
Allowed 150,000+ members to perform complex analyses, comparisons, and summarizations across thousands of documents in seconds rather than hours.
Multi-turn query support enabled researchers to build on previous questions, creating natural and productive research workflows.
Ensured high availability, data privacy compliance, and seamless access for a global user base in diverse regions and languages.
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