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Context Engineering
🧠 Context Engineering
Specific
Prompting, RAG, Context Windows, LLMs
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139
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LangChain Series #2:
Models
Explained —
LLMs
,
Chat
Models
, and Embeddings with Practical…
🤖
Large Language Models
pub.towardsai.net
·
1d
1 day ago
Actions for LangChain Series #2: Models Explained — LLMs, Chat Models, and Embeddings with Practical…
IA-RAG
: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge
Retrieval
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval
How to Build an Agentic
RAG
with RubyLLM and Rails
🤖
Large Language Models
Content type:
Blog
panasiti.me
·
12h
12 hours ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
hashwnath/KMCP: Open-source MCP server for your docs. Zero
LLM
at query time. docker compose up and go.
☁️
Cloud Computing
Content type:
Code
github.com
·
20h
20 hours ago
·
Hacker News
Actions for hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.
Show
HN: Ext-Infer
🤖
Large Language Models
infer.displace.tech
·
3d
3 days ago
·
Hacker News
Actions for Show HN: Ext-Infer
Fine-Tuning vs.
RAG
vs.
Prompting
: the Definitive Decision Framework for 2026
💬
LLMs
pub.towardsai.net
·
2h
2 hours ago
Actions for Fine-Tuning vs. RAG vs. Prompting: the Definitive Decision Framework for 2026
TA-RAG
: Tone-Aware
Retrieval-Augmented
Generation for Peer-Support Health Communication
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication
Measuring
Embedding
Drift: Why Hybrid Search Saves Stale
Models
.
💬
LLMs
pub.towardsai.net
·
15h
15 hours ago
Actions for Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.
SaqlainXoas/llm-system-patterns
: A docs-first guide to
LLM
system design — hybrid search,
embedding
pipelines, reranking, and
LLM-as-judge
patterns.
🧠
LLM
Content type:
Code
github.com
·
6d
6 days ago
·
r/LocalLLaMA
,
r/SideProject
Actions for SaqlainXoas/llm-system-patterns: A docs-first guide to LLM system design — hybrid search, embedding pipelines, reranking, and LLM-as-judge patterns.
Evidence Graph Consistency in
Retrieval-Augmented
Generation
: A Model-Dependent Analysis of Hallucination Detection
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection
What is Agentic
RAG
? Building Multi-Agent Agentic
RAG
Systems
🤖
Large Language Models
pub.towardsai.net
·
1d
1 day ago
Actions for What is Agentic RAG? Building Multi-Agent Agentic RAG Systems
Agentic Hybrid
RAG
for Evidence-Grounded Muon Collider Analysis
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
16h
16 hours ago
Actions for Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
Beyond Basic
RAG
(Part 3): Agentic
RAG
, CRAG,
Self-RAG
and GraphRAG Explained | M012 | Mehul Ligade
🎯
Retrieval Systems
pub.towardsai.net
·
4d
4 days ago
Actions for Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade
SIFT: Selective-Index For Fast Compute of
RAG
Prefill by Exploiting Attention Invariance
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance
TrustMargin: Training-Free Arbitration between Parametric Memory and
Retrieved
Evidence in
Large
Language
Models
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for TrustMargin: Training-Free Arbitration between Parametric Memory and Retrieved Evidence in Large Language Models
I Built a Private AI That Answers Questions From My Own PDFs — Entirely on My Laptop
💬
NLP
pub.towardsai.net
·
6d
6 days ago
Actions for I Built a Private AI That Answers Questions From My Own PDFs — Entirely on My Laptop
LangChain Explained: Understanding
Models
,
Prompts
,
Chains
, Memory, Indexes, and Agents
🤖
Large Language Models
pub.towardsai.net
·
2d
2 days ago
Actions for LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents
MolE-RAG
: Molecular Structure-Enhanced
Retrieval-Augmented
Generation for Chemistry
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for Chemistry
Document-Authored Control-Signal Impersonation: A Low-Cost Indirect
Prompt
Attack on
RAG
Safety Boundaries
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Document-Authored Control-Signal Impersonation: A Low-Cost Indirect Prompt Attack on RAG Safety Boundaries
Fine-tuning vs
RAG
vs MeMo: Where should
LLM
Knowledge Live?
💬
NLP
pub.towardsai.net
·
4d
4 days ago
Actions for Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?
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