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10,000+ Development Documents. One Searchable Library.

icopedia.org > Research Documents Database
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Icopedia research-library-compressed
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Development professionals in West Africa produce thousands of studies, evaluations, and reports every year. Most end up buried in institutional websites, forgotten on hard drives, or locked behind paywalls.

ICOpedia's Research Library brings them together. We aggregate documents from ReliefWeb, World Bank Open Knowledge, OECD iLibrary, AFD Publications, UN agency portals, and national statistics offices. Every document is processed through our AI pipeline: text extracted, metadata classified, summary generated, and vector embedding created for semantic search.

The result? You search by meaning, not just keywords. Type "community resilience programs" and find documents tagged as "renforcement de la résilience communautaire" — even across languages.

What the Research Library Gives You

Unlike Google or institutional databases, ICOpedia's library uses AI-powered semantic search. You find documents based on what they're about, not just which words they contain. Cross-language search is built in: query in French, find English results. No manual translation. No missed studies.

  • Semantic search across 10,000+ studies, evaluations, and policy briefs
  • Cross-language discovery: search in one language, find results in all four
  • AI-generated summaries for quick scanning before deep reading
  • Filter by country, sector, donor, document type, and publication year
  • Bookmark documents and organize them into collections
  • Upload your own studies to make them discoverable by the community
01 STEP

Collect

We aggregate documents from 10+ major development knowledge portals: ReliefWeb, World Bank, OECD, AFD, UN agencies, and national statistics offices. New documents added weekly.
02 STEP

Process

Each document goes through our AI pipeline: text extraction (including scanned PDFs via OCR), metadata classification by country, sector, donor, and SDG, and automatic summary generation.
03 STEP

Index

Documents are converted into vector embeddings for semantic search. The system understands meaning, not just keywords — so your searches return relevant results even when exact words don't match.
04 STEP

Search & Discover

Type a question or topic in plain language. The library returns ranked results with AI-generated summaries, source links, and metadata. Save what you need or ask Coco to analyze further.
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The knowledge exists. The problem was always finding it. ICOpedia's Research Library solves the discovery problem for development professionals across West Africa — so you can spend your time analyzing insights, not searching for documents.

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Icopedia 5 stars

Frequently Asked Questions

Studies, evaluations (ex-ante, mid-term, final, impact), project reports, policy briefs, methodological guides, survey data (EPCV, MICS, DHS), and strategic notes covering development in West Africa and the Sahel.

How is the search different from Google?

ICOpedia uses semantic search powered by AI. Unlike keyword search, it understands meaning. Search «food security programs» and also find documents about «programmes de sécurité alimentaire» — across languages, automatically.

Yes. Registered users can upload PDF documents. Each upload goes through the same AI enrichment pipeline: text extraction, classification, summary generation, and semantic indexing. Uploads are reviewed before publication.

New documents are added weekly from all aggregated sources. The pipeline runs continuously, so the library grows with every cycle.

FAQs (1)