91 skills found · Page 1 of 4
deepset-ai / HaystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
fynnfluegge / CodeqaiLocal first semantic code search and chat | Leverage custom copilots with fine-tuning datasets from code in Alpaca, Conversational, Completion and Instruction format
stanford-oval / SuqlSUQL: Conversational Search over Structured and Unstructured Data with LLMs
chauff / ConversationalIROverview of venues, research themes and datasets relevant for conversational search.
aliannejadi / ClariQClariQ: SCAI Workshop data challenge on conversational search clarification.
microsoft / MSMARCO Conversational SearchTruly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
RawdogReverend / TermNetTermNet is an AI-powered terminal assistant that bridges a Large Language Model (LLM) with your local environment. It can safely run shell commands, search the web, and load custom tools dynamically — all while maintaining conversational memory and streaming natural language responses in real time.
tavily-ai / Tavily ChatConversational agent that fuses chat data with live web results through Tavily search, extract, and crawl.
arjunprabhulal / MCP Gemini SearchModel Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools
thunlp / ConvDRCode repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
evison / ConversationalCode for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
castorini / Chatty GooseA Python framework for conversational search
liziliao / MMConvOfficial repository for "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains"
fengranMark / ConvGQRConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.
microsoft / LeadingConversationalSearchbySuggestingUsefulQuestionsWebConf 2020 paper Leading Conversational Search by Suggesting Useful Questions
aws-samples / Conversational AI Assistant Multi Route ChainThis GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 model. It features intelligent routing to relevant functions, database querying, semantic searches, Lambda function executions, and specialized interactions.
shubhamagarwal92 / MmdThis repository contains the Pytorch implementation for our SCAI (EMNLP-2018) submission "A Knowledge-Grounded Multimodal Search-Based Conversational Agent"
ChuanMeng / QPP4CSQuery Performance Prediction for Conversational Search (QPP4CS)
typesense / Showcase Conversational Search Pg EssaysAn app that shows you how to build a conversation search experience, using Typesense's built-in RAG pipeline
harinaralasetty / CORAGA highly contextualized retrieval system integrating Large Language Models (LLMs), embeddings, and a dynamic agent-driven framework. Supports PDF and audio file processing, conversational memory, and tool integration (search, calculator). Features advanced HNSW indexing and reranking for accurate information retrieval.
