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RAG
📚 RAG
Specific
retrieval augmented generation, RAG, vector search, knowledge base
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Phoenix
🤖
AI Agents
arize.com
·
6d
6 days ago
Actions for Phoenix
Location: Arlington Heights, IL, USA (Chicago Area) Remote: Yes Willing to reloc...
🕸️
LangGraph
Content type:
Discussion
news.ycombinator.com
·
1d
1 day ago
·
Hacker News
Actions for Location: Arlington Heights, IL, USA (Chicago Area) Remote: Yes Willing to reloc...
Less-relevant results
My First $5,000 Month Writing About AI Engineering on Medium
🔗
LangChain
Content type:
Blog
towardsai.net
·
2d
2 days ago
Actions for My First $5,000 Month Writing About AI Engineering on Medium
Show HN: LLM memory without
context
bleed; 100% precision vs. <10%
vector
search
🧠
LLM
tenureai.dev
·
5d
5 days ago
·
Hacker News
,
Hacker News
Actions for Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
⚙️
Feature Engineering
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
Context
engineering for AI agents: the infrastructure behind every decision
🤖
AI Agents
Content type:
Blog
redis.io
·
9h
9 hours ago
Actions for Context engineering for AI agents: the infrastructure behind every decision
How to Defend Against Prompt Injection in Production
🧠
LLM
Content type:
Reference
leanpub.com
·
2d
2 days ago
·
DEV
Actions for How to Defend Against Prompt Injection in Production
Your AI Agent Keeps Forgetting. Here's Why
Context
Is the Real Architecture Problem
🤖
AI Agents
ariefwara.github.io
·
6d
6 days ago
·
DEV
Actions for Your AI Agent Keeps Forgetting. Here's Why Context Is the Real Architecture Problem
Explore OpenSearch 3.7
⚙️
Feature Engineering
Content type:
Blog
opensearch.org
·
1d
1 day ago
Actions for Explore OpenSearch 3.7
Design a
Knowledge
Q&A System
🖼️
Multimodal AI
newsletter.systemdesign.one
·
6d
6 days ago
Actions for Design a Knowledge Q&A System
Agentic Hybrid
RAG
for Evidence-Grounded Muon Collider Analysis
⚙️
MLOps
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
The AI Agents Stack (2026 Edition)
🤖
AI Agents
Content type:
Blog
oreilly.com
·
3d
3 days ago
Actions for The AI Agents Stack (2026 Edition)
The State Layer Behind Every Good AI Agent
🤖
AI Agents
Content type:
Blog
pingcap.com
·
2d
2 days ago
Actions for The State Layer Behind Every Good AI Agent
New comment by gab18 in "Ask HN: Who wants to be hired? (June 2026)"
🕸️
LangGraph
Content type:
Discussion
news.ycombinator.com
·
2d
2 days ago
·
Hacker News
Actions for New comment by gab18 in "Ask HN: Who wants to be hired? (June 2026)"
shoo99/paper-rag
: A private, fully-local
RAG
over your own PDFs: BGE-M3 +
embedded
Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.
🧠
LLM
Content type:
Code
github.com
·
5d
5 days ago
·
DEV
Actions for shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.
ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK
🤖
AI Agents
Content type:
Blog
devblogs.microsoft.com
·
1d
1 day ago
Actions for ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK
New comment by YadavPankaj79 in "Ask HN: Who wants to be hired? (June 2026)"
🕸️
LangGraph
drive.google.com
·
5d
5 days ago
·
Hacker News
Actions for New comment by YadavPankaj79 in "Ask HN: Who wants to be hired? (June 2026)"
SmithDB
🤖
AI Agents
Content type:
News
NULL BITMAP by Justin Jaffray via buttondown.com
·
2d
2 days ago
·
Lobsters
,
Hacker News
Actions for SmithDB
Embedding
pipelines are the new ETL
⚙️
Feature Engineering
Content type:
Blog
infoworld.com
·
5d
5 days ago
Actions for Embedding pipelines are the new ETL
Understanding HNSW: The Engine Behind Fast
Vector
Search
⚙️
Feature Engineering
chimchim89.github.io
·
4d
4 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
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