newsAWS Machine LearningTrust 88 · LabPublished 1mo agoLive · 1mo ago
Build a protein research copilot with Amazon Bedrock AgentCore
This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector similarity search over protein embeddings using a specialized language model and ai-generated scientific summaries of search results.
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownHussein-Furaty/NeuraFind →
- LinkedLinked via unknownnomad505050/ions-genesis →
- LinkedLinked via unknownFARS: A Fully Automated Research System Deployed at Scale →
- LinkedLinked via unknownTowards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based Approach →
- LinkedLinked via unknownAutonomous Scientific Discovery via Iterative Meta-Reflection →
- PossiblePossibly related (embedding) · 58%stackitcloud/rag-template →
- PossiblePossibly related (embedding) · 52%vespa-engine/vespa →
- PossiblePossibly related (embedding) · 45%felladrin/MiniSearch →
Covers (incoming)
repoHussein-Furaty/NeuraFindreponomad505050/ions-genesispaperFARS: A Fully Automated Research System Deployed at ScalepaperTowards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based ApproachpaperAutonomous Scientific Discovery via Iterative Meta-Reflectionrepostackitcloud/rag-templaterepovespa-engine/vesparepofelladrin/MiniSearchrepogefsikatsinelou/MetaSearchMCPpaperBringing Agentic Search to Earth Observation Data Discoveryrepoepam/ai-dial-corerepochatvector-ai/chatvector-airepo1ch1n/mychatarchiverepoNPC-Worldwide/npcpyrepovericontext/querypadpaperImproving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Mergingrepoabhisadineni/ChatBotrepoaws-samples/bedrock-kb-rag-workshoprepoScrapingBee/chatgpt-scraper-apipaperCost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and Brepoatoncooper/MindBase
Related across the graph
repoepam/ai-dial-corerepoHussein-Furaty/NeuraFindrepo1ch1n/mychatarchiverepovespa-engine/vespapaperBringing Agentic Search to Earth Observation Data DiscoveryrepoScrapingBee/chatgpt-scraper-apirepogefsikatsinelou/MetaSearchMCPpaperCost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and BpaperAutonomous Scientific Discovery via Iterative Meta-Reflectionrepofelladrin/MiniSearchrepochatvector-ai/chatvector-aireponomad505050/ions-genesisrepovericontext/querypadrepoatoncooper/MindBasepaperTowards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based ApproachpaperImproving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Mergingrepoaws-samples/bedrock-kb-rag-workshoprepoabhisadineni/ChatBotrepostackitcloud/rag-templatepaperFARS: A Fully Automated Research System Deployed at ScalerepoNPC-Worldwide/npcpy