How to Integrate Research Papers into Your AI App (Complete 2025 Guide)

TL;DR

• Valyu’s Search API gives you instant access to millions of research papers from PubMed, arXiv, and top academic domains all in structured, LLM-ready JSON.
• With just 3 lines of code, you can pull abstracts, metadata, and semantic matches straight into your AI app, agent, or retrieval pipeline.
• Works out of the box with LangChain, Vercel AI SDK, or LlamaIndex.

Why Research Papers Matter for AI Builders

Whether you’re building a biotech RAG agent or an AI researcher’s copilot, you need access to primary sources. Integrating peer-reviewed and preprint literature is critical for:

• Evidence-grounded reasoning
• Research summarization tools
• Literature review agents
• Citation and related work discovery
• Biomedical R&D copilots
• Trend tracking in AI, ML, and hard science

Valyu gives your app access to structured academic data — no scraping, no PDFs, no patchwork APIs.

The Problem With Traditional Access

• PubMed is keyword-only and returns XML/HTML
• arXiv has limited metadata and no semantic search
• Most academic sites block crawlers or require scraping
• No unified interface for life sciences + ML literature
• Search engines return SEO spam, not structured papers

And even when you get a paper, parsing the metadata, extracting key sections, or aligning citation data takes custom tooling.

The Fast Way: Use Valyu’s Research Paper Search API

Valyu provides structured access to:

• PubMed – peer-reviewed biomedical research
• arXiv – preprints across physics, ML, and hard science
• Top journals – Wiley

3-Line Integration

1import { Valyu } from 'valyu-js';
2
3const valyu = new Valyu({ apiKey: 'your-valyu-api-key' });
4
5const response = await valyu.search(
6  "recent research on CRISPR off-target effects 2024"
7);
8
9console.log(response);
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Example Use Cases

🧠 AI Research Assistant
“Summarize recent arXiv papers on retrieval-augmented generation.”

💊 Biotech Literature Copilot
“Find PubMed papers discussing CAR-T therapy in pediatric leukemia.”

📎 Citation Discovery Tool
“Find related work on LoRA fine-tuning for large language models.”

📚 Evidence Synthesis Agent
“Combine PubMed + arXiv results to explain how Transformer architectures evolved.”

Advanced Usage Example

Target high-quality, recent research from multiple academic domains:

1const response = await valyu.search(
2  "checkpoint inhibitor resistance mechanisms in melanoma",
3  {
4    included_sources: [
5      "valyu/valyu-pubmed",
6      "valyu/valyu-arxiv",
7      "nature.com",
8      "acm.org"
9    ],
10    start_date: "2025-01-01",
11    max_num_results: 10
12  }
13);
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💡 Use response_length: "large" if you want full abstracts + key sections for deeper context.

Live Demo

Try the Research Papers Demo

Search across PubMed, arXiv, and curated journals in natural language.

Stream structured results - title, authors, abstract, date, source — directly into your agent or retrieval chain.

Best Practices

• Be specific — include key terms, methods, or compound names
• For biomedical use cases, pair valyu-pubmed with valyu-clinical-trials
• Use date_range to focus on recency
• Include journal domains to access non-open-access metadata (e.g., Wiley)
• Limit max_num_results to 3–10 for lower token overhead

FAQ (Schema-Enabled)

Q: What sources does Valyu support for research papers?
A: PubMed, arXiv, and metadata from top journals like Nature, Science, IEEE, and ACM.

Q: Do you return full text?
A: Abstracts and metadata are always included. Full text is returned where permitted (e.g., arXiv or open-access PubMed).

Q: Can I filter by year, author, or domain?
A: Yes - include those filters in your query or use structured config parameters.

Q: Is this suitable for citation and related work agents?
A: Yes - Valyu can surface related papers, author networks, and DOIs for reference chaining.

Integrate Research Papers the Right Way

Valyu gives you one interface for all the world’s research - preprints, peer-reviewed studies, and academic metadata - fully searchable and structured for LLM use.

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