paperarXivTrust 82 · PrimaryPublished 7d agoLive · 4d ago

BIT.UA at BioASQ 14B: Modular Retrieval with pg_textsearch and Qdrant, and Agent-Based Answer Generation

This paper describes the participation of the BIT.UA team from the University of Aveiro in the 14th edition of the BioASQ Task B challenge on biomedical question answering. Building on our previous submissions, we introduced a substantially refactored and modular codebase, and made significant changes to both the retrieval and generation components of the pipeline. For Phase~A document retrieval, we replaced the PyTerrier PISA index with PostgreSQL-based pg\_textsearch for BM25 retrieval and adopted Qdrant for dense embedding indexing, enabling more efficient storage and GPU-accelerated simila

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FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “BIT.UA at BioASQ 14B: Modular Retrieval with pg_textsearch a” ≈ “AgentCore-8B””
PossiblePossibly related (embedding) · 52%RAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P] →
PossiblePossibly related (embedding) · 50%How we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P] →
PossiblePossibly related (embedding) · 50%Build a protein research copilot with Amazon Bedrock AgentCore →
FuzzySimilar title/name (fuzzy) · 87%qdrant/qdrant →
“Fuzzy title match (0.94): “BIT.UA at BioASQ 14B: Modular Retrieval with pg_textsearch a” ≈ “qdrant/qdrant””
FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “BIT.UA at BioASQ 14B: Modular Retrieval with pg_textsearch a” ≈ “SWE-agent/SWE-agent””
FuzzySimilar title/name (fuzzy) · 87%modular/modular →
“Fuzzy title match (0.94): “BIT.UA at BioASQ 14B: Modular Retrieval with pg_textsearch a” ≈ “modular/modular””
FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “BIT.UA at BioASQ 14B: Modular Retrieval with pg_textsearch a” ≈ “zhayujie/CowAgent””

Has model

modelAgentCore-8B

Covers

newsRAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]newsHow we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P]newsBuild a protein research copilot with Amazon Bedrock AgentCore

Implements (incoming)

repoqdrant/qdrant repoSWE-agent/SWE-agent repomodular/modular repozhayujie/CowAgent repoNousResearch/hermes-agent

authored (incoming)

personAndré Ribeiro personRúben Garrido personAlexander Christiansen personRichard A. A. Jonker personSérgio Matos

Related across the graph

repoSWE-agent/SWE-agent repomodular/modular personAndré Ribeiro personAlexander Christiansen repozhayujie/CowAgent personSérgio Matos newsRAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]repoNousResearch/hermes-agent newsBuild a protein research copilot with Amazon Bedrock AgentCore repoqdrant/qdrant modelAgentCore-8B personRúben Garrido personRichard A. A. Jonker newsHow we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P]

Topics

cs.CL