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RAG
🔍 RAG
Specific
retrieval augmented generation, vector search, knowledge retrieval
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RAG
(
Retrieval-Augmented
Generation) Explained for Beginners: Build AI Applications Using Your Own Data
🧩
AI Frameworks
Content type:
Blog
dev.to
·
10h
10 hours ago
·
DEV
Actions for RAG (Retrieval-Augmented Generation) Explained for Beginners: Build AI Applications Using Your Own Data
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.
🗄️
Vector Databases
Content type:
Code
github.com
·
6d
6 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.
How to Build an Agentic
RAG
with RubyLLM and Rails
🧩
AI Frameworks
Content type:
Blog
panasiti.me
·
2d
2 days ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
milvuslite-kit
configuration over code for
vector
search
and rag workflows
🗄️
Vector Databases
Content type:
Blog
elanthirayan.medium.com
·
6h
6 hours ago
·
DEV
Actions for milvuslite-kit configuration over code for vector search and rag workflows
When Poison Fails After
Retrieval
: Revisiting Corpus Poisoning under Chunking and
Reranking
Pipelines
📐
Context Engineering
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines
Prompt Injection in
RAG
Agentic Systems
📐
Context Engineering
ulad.net
·
4d
4 days ago
·
Hacker News
Actions for Prompt Injection in RAG Agentic Systems
RAG-Based
Testing Series — Part 1: What Is
RAG
& Why Your Old Testing Playbook Won't Work Here
📐
Context Engineering
linkedin.com
·
2d
2 days ago
·
DEV
Actions for RAG-Based Testing Series — Part 1: What Is RAG & Why Your Old Testing Playbook Won't Work Here
a desktop GUI to browse,
search
, & visualize your
vector
databases
💾
Agent Memory
vectorlens.dev
·
1d
1 day ago
·
Hacker News
Actions for a desktop GUI to browse, search, & visualize your vector databases
How I benchmarked a 100% local
RAG
pipeline to 9/9 (zero API keys)
🗄️
Vector Databases
buy.polar.sh
·
3d
3 days ago
·
DEV
Actions for How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
The Missing Link Between Agents and Applications
🛠️
Tool Use
Content type:
Blog
langchain.com
·
1d
1 day ago
·
Hacker News
Actions for The Missing Link Between Agents and Applications
Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels
🧩
AI Frameworks
Content type:
Blog
socket.dev
·
3d
3 days ago
·
Hacker News
Actions for Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels
Building a Zero-Touch
Knowledge
Ingestion Pipeline: Automating
RAG
with Make.com and Python
🗄️
Vector Databases
Content type:
Blog
dev.to
·
17m
17 minutes ago
·
DEV
Actions for Building a Zero-Touch Knowledge Ingestion Pipeline: Automating RAG with Make.com and Python
Less-relevant results
I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.
🎼
Agent Orchestration
saintlex.sbs
·
1d
1 day ago
·
DEV
Actions for I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.
Building Agents Without Harness-Engineering
✍️
Prompt Engineering
rajitkhanna.com
·
1d
1 day ago
·
Hacker News
Actions for Building Agents Without Harness-Engineering
SmithDB
🧩
AI Frameworks
Content type:
News
NULL BITMAP by Justin Jaffray via buttondown.com
·
3d
3 days ago
·
Lobsters
,
Hacker News
Actions for SmithDB
Introducing GitLab Orbit
📐
Context Engineering
Content type:
Blog
about.gitlab.com
·
2d
2 days ago
·
Hacker News
Actions for Introducing GitLab Orbit
Researchers trained an open source AI
search
agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information
💾
Agent Memory
venturebeat.com
·
3d
3 days ago
·
Hacker News
Actions for Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information
RAG
vs Fine-Tuning: Which Approach Should You Choose?
📐
Context Engineering
Content type:
Blog
dev.to
·
19h
19 hours ago
·
DEV
Actions for RAG vs Fine-Tuning: Which Approach Should You Choose?
Show HN: Incremental
RAG
ingestion, only changed chunks get
re-embedded
🗄️
Vector Databases
Content type:
Code
github.com
·
4d
4 days ago
·
Hacker News
Actions for Show HN: Incremental RAG ingestion, only changed chunks get re-embedded
The AI Curse (Vis the Lisp Curse)
💾
Agent Memory
Content type:
Blog
blog.djhaskin.com
·
2d
2 days ago
·
Hacker News
Actions for The AI Curse (Vis the Lisp Curse)
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