Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems
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Updated
Oct 16, 2026 - TypeScript
Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems
Overview of venues, research themes and datasets relevant for conversational search.
Query Performance Prediction for Conversational Search (QPP4CS)
Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
An app that shows you how to build a conversation search experience, using Typesense's built-in RAG pipeline
DiSCo for Conversational Information Seeking with SPLADE [SIGIR 2025]
A Middleware to Simplify the Use of User Simulators for Shared Tasks in Conversational Search.
Code for the CIKM 2023 long paper: System Initiative Prediction for Multi-turn Conversational Information Seeking
Implementation of a conversational search system for BnF.
TikTok TechJam 2026 Track 4 - IntentCompass conversational shopping agent
needle: an ambiguity-aware conversational shopping agent for tiktok techjam 2026 track 4
Team 0x00 conversational shopping Agent: session state, BM25 retrieval, evidence-based reranking, clarification, evaluation and demo. Personal fork.
A minimalistic and versatile RAG implementation built on top of Ollama, that can also search the web.
AutoSim: a self-improving user simulator for conversational search evaluation. Code, models, and protocol for the SIGIR-AP 2026 paper.
MemRevise: a revisable memory for conversational search, with the ConvRevise benchmark
Official system and pipeline for SemEval-2027 Task 1 (RETECO Track 2: Conversational Retrieval & Grounded Generation). Modular PyTorch architecture with BGE Bi-Encoder, BM25 hybrid search, RRF fusion, and Cross-Encoder reranking evaluated on nDCG@10.
Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) skills for AI search visibility, answer engines, entity optimisation, and content discoverability.
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