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AI Agent Skills

Temukan skill untuk tugas berikutnya dengan Codex, Claude Code, Cursor, dan lainnya.

Hasil · “ai-search-engine”

76 Skills

Hasil: 76

Data & analitik

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Qdrant

qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Harga belum dikonfirmasiData & analitikTinjau sebelum digunakan
33,4 rbGitHub
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Pencarian & riset

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Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for…

Harga belum dikonfirmasiPencarian & risetOpenAI AgentsTinjau sebelum digunakan
18,3 rbGitHub
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AI & pengetahuan

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Ragflow

infiniflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for L…

Harga belum dikonfirmasiAI & pengetahuanTinjau sebelum digunakan
82,6 rbGitHub
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Data & analitik

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Weaviate

weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault t…

Harga belum dikonfirmasiData & analitikTinjau sebelum digunakan
16,6 rbGitHub
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Data & analitik

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Cognee

topoteretes

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Harga belum dikonfirmasiData & analitikClaude CodeTinjau sebelum digunakan
30,2 rbGitHub
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AI & pengetahuan

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MiroFish

666ghj

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物

Harga belum dikonfirmasiAI & pengetahuanTinjau sebelum digunakan
69,9 rbGitHub
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Data & analitik

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Tidb

pingcap

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No no…

Harga belum dikonfirmasiData & analitikTinjau sebelum digunakan
40,2 rbGitHub
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Panduan & perbandingan

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