#Tavily

Showing 9 of 9 repositories tagged #tavily, ranked by stars

miurla
miurla
morphic

An AI-powered search engine with a generative UI

Score
0
โ˜… 9.0k โ‘‚ 2.3k +6/day
TypeScript
CopilotKit
CopilotKit
open-research-ANA

๐Ÿค– An open-source, AI agent-native research canvas application that performs real-time search with HITL (Human in The Loop) capabilities, powered by CopilotKit, Tavily and LangGraph

Score
83
โ˜… 391 โ‘‚ 109 +1/day
TypeScript
OnlyTerp
OnlyTerp
openclaw-optimization-guide

Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.

Score
67
โ˜… 361 โ‘‚ 42 โ€”
JavaScript
emarco177
emarco177
documentation-helper

Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..

Score
100
โ˜… 323 โ‘‚ 349 +3/day
Jupyter Notebook
Olney1
Olney1
ChatGPT-OpenAI-Smart-Speaker

This AI Smart Speaker uses speech recognition, TTS (text-to-speech), and STT (speech-to-text) to enable voice and vision-driven conversations, with additional web search capabilities via OpenAI and Langchain agents.

Score
33
โ˜… 317 โ‘‚ 38 โ€”
Python
vakovalskii
vakovalskii
searcharvester

Self-hosted search + markdown harvester for AI agents. SearXNG (100+ engines) + FastAPI + trafilatura. Tavily-compatible /search plus /extract with size presets and pagination. One-command Docker Compose.

Score
50
โ˜… 248 โ‘‚ 43 โ€”
Python
seehiong
seehiong
multi-agent-system-using-langgraph

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models โ€” with reproducible notebooks and a full supervisor-led agent workflow.

Score
0
โ˜… 36 โ‘‚ 2 +3/day
Jupyter Notebook
SSK-14
SSK-14
WizSearch

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Score
17
โ˜… 34 โ‘‚ 11 โ€”
Python
chitralputhran
chitralputhran
Advanced-RAG-LangGraph

Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.

Score
0
โ˜… 34 โ‘‚ 7 +1/day
Python
Related Topics
#langchain#llm#rag#ollama#ai#langgraph#openai#searxng#chatgpt#openrouter#agentic-ai#streamlit

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