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LLM Apps
🧠 LLM Apps
large language models, RAG, prompt engineering, LLM
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195
posts in
18.4
ms
LangChain
Explained: Understanding
Models
,
Prompts
, Chains, Memory, Indexes, and Agents
🧠
Claude
Content type:
Blog
towardsai.net
·
2d
2 days ago
Actions for LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents
Philosophy
🤖
LLM
Content type:
Reference
docs.langchain.com
·
4d
4 days ago
Actions for Philosophy
LangChain
vs
LlamaIndex
2026: Response Time on 10
RAG
Tasks
⚡
Performance
Content type:
Blog
Content type:
Discussion
tildalice.io
·
9h
9 hours ago
Actions for LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks
AI 101: From
Prompt
Engineering
to Skill
Engineering
💿
software
turingpost.com
·
3h
3 hours ago
Actions for AI 101: From Prompt Engineering to Skill Engineering
Your AI agent reads the fine print: building a
RAG
pipeline over EU regulations with Elasticsearch and OGX
🧠
Claude
Content type:
Blog
elastic.co
·
1d
1 day ago
Actions for Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
Agentic AI frameworks compared:
LangChain
, LangGraph, AutoGen
🤖
Anthropic Claude
Content type:
Blog
udacity.com
·
5d
5 days ago
Actions for Agentic AI frameworks compared: LangChain, LangGraph, AutoGen
How to Build an Agentic
RAG
with RubyLLM and Rails
🤖
LLM
Content type:
Blog
panasiti.me
·
16h
16 hours ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
Modernizing
attendance ticketing in SAS Viya using SAS Agentic AI Accelerator
🤖
RSS Automation
Content type:
Blog
blogs.sas.com
·
1d
1 day ago
Actions for Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator
Quiz: Embeddings and
Vector
Databases
With ChromaDB
🖼️
WebGPU
realpython.com
·
1d
1 day ago
Actions for Quiz: Embeddings and Vector Databases With ChromaDB
MongoDB as a
Vector
Database
for AI Agents-MongoDB
🎯
Content Discovery
foojay.io
·
6d
6 days ago
Actions for MongoDB as a Vector Database for AI Agents-MongoDB
New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"
🟨
JavaScript
drive.google.com
·
6d
6 days ago
·
Hacker News
Actions for New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"
How to Defend Against
Prompt
Injection in Production
🟨
JavaScript
Content type:
Reference
leanpub.com
·
1d
1 day ago
·
DEV
Actions for How to Defend Against Prompt Injection in Production
ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK
🪟
Microsoft
Content type:
Blog
devblogs.microsoft.com
·
1d
1 day ago
Actions for ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK
When Is It Actually a
RAG
Problem?
🔎
AI Search
read.futureproofds.com
·
6d
6 days ago
Actions for When Is It Actually a RAG Problem?
Context
Engineering
Is Eating
Prompt
Engineering
🎮
Game Engines
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for Context Engineering Is Eating Prompt Engineering
Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic
RAG
🕷️
Web Crawling
Content type:
Blog
research.google
·
5d
5 days ago
Actions for Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG
TryHackMe LockdownAI — Auditing a
RAG
Assistant for Three Hidden Vulnerabilities
🔄
Content Deduplication
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for TryHackMe LockdownAI — Auditing a RAG Assistant for Three Hidden Vulnerabilities
Prompt
Injection in
RAG
Agentic Systems
🌐
Webapps
ulad.net
·
2d
2 days ago
·
Hacker News
Actions for Prompt Injection in RAG Agentic Systems
Hashtag Jakarta EE #336
🤖
RSS Automation
agilejava.eu
·
3d
3 days ago
Actions for Hashtag Jakarta EE #336
The Rise of Agentic AI: What Every
Engineer
Should Learn
💿
software
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for The Rise of Agentic AI: What Every Engineer Should Learn
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