Haystack (deepset)

Haystack (deepset)
Open-source NLP framework
Natural Language Processing
Search Technology
Machine Learning
Information Retrieval
Open Source
Haystack (deepset)の求人
求人0件
現在募集中の求人はありません
製品・サービス
HA
Haystack Framework
Framework
HA
Haystack
Framework
DO
Document Processing
Data Processing
RA
RAG Pipelines
AI Solution
RE
Retrieval-Augmented Generation (RAG)
AI Pipeline
DO
Document Store
Component
EN
Enterprise Support
Professional Services
DE
deepset Cloud
Cloud Platform
NE
Neural Search
Search Technology
LL
LLM Integration
AI Integration
RE
Retriever Components
Component
AP
API Services
API Platform
VE
Vector Search
Search Technology
RE
Reader Components
Component
QU
Question Answering Systems
AI Pipeline
AN
Annotation Tool
Tool
PI
Pipeline Builder
Tool

Question Answering
AI Solution

Document Search
Search Solution

RAG Applications
AI Solution
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最新情報
All
X
News
HN
YouTube
The 2026 AX Developer Stack: What LangGraph, CrewAI, n8n, and MCP Are Actually Used For
# Introduction In August 2025, Gartner forecast that 40% of enterprise applications would incorporate task-specific AI agents by the end of 2026 — up from less than 5% at the time of the prediction. That is a structural market shift compressed into roughly 18 months. A LangChain survey conducted around the same period, drawing on more than 1,300 respondents, found that 57% of organizations already have AI agents running in production. The question has moved from "should we adopt AI?" to "what
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RAG Hammer (free private AI file search)
**Premise:** * Build a DIY private RAG server using SOTA free, offline AI software **More details:** * [https://www.reddit.com/r/Rag/comments/1shqrwv/comment/ofny2ca/?utm\_source=share&utm\_medium=web3x&utm\_name=web3xcss&utm\_term=1&utm\_content=share\_button](https://www.reddit.com/r/Rag/comments/1shqrwv/comment/ofny2ca/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button) **Requirements:** * Runs fully offline * Continuo
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2ヶ月前
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2
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1
もっと見る (残り15件)
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
レビュー
3.8
10件のレビュー
ワークライフバランス
3.8
報酬
2.5
企業文化
3.9
キャリア
2.8
経営陣
3.2
65%
知人への推奨率
良い点
Supportive and collaborative team environment
Flexible work arrangements and remote options
Good training and development opportunities
改善点
Below industry standard compensation
Limited career advancement opportunities
High workload and demanding pace
給与レンジ
8件のデータ
Mid/L4
Mid/L4
1件のレポート
$94,185
年収総額
基本給
$72,450
ストック
-
$94,185
$94,185
面接レビュー
レビュー46件
難易度
3.3
/ 5
期間
2-5w
内定率
37%
体験
ポジティブ 66%
普通 21%
ネガティブ 13%
面接プロセス
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
連絡先・所在地