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Dhaystack
Author description: Open-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.
Popularity
Repository stars3,60326,913Highest
7-day net stars——
Fork3303,384Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-272026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-03-142019-11-14
License & use
LicenseMIT · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryGeneralAgent frameworks
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this project⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)Author description: Open-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.
Measured at2026-11-02 19:01 UTC2026-11-02 18:58 UTC
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