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Information Retrieval
🔍 Information Retrieval
search ranking, BM25, dense retrieval, semantic search
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177
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How to Defend Against Prompt Injection in Production
🪟
Context Windows
Content type:
Reference
leanpub.com
·
2d
2 days ago
·
DEV
Actions for How to Defend Against Prompt Injection in Production
How I benchmarked a 100% local
RAG
pipeline to 9/9 (zero API keys)
🪟
Context Windows
buy.polar.sh
·
3d
3 days ago
·
DEV
Actions for How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control
🤖
AI Agents
Content type:
Blog
cockroachlabs.com
·
1d
1 day ago
Actions for Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control
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.
🪟
Context Windows
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.
Explore OpenSearch 3.7
🔢
Embeddings
Content type:
Blog
opensearch.org
·
2d
2 days ago
Actions for Explore OpenSearch 3.7
Agentic
search
-
retrieval
, harness, or model?
🪟
Context Windows
Content type:
Blog
softwaredoug.com
·
4d
4 days ago
·
Hacker News
Actions for Agentic search - retrieval, harness, or model?
Redis vs Memorystore: key differences in 2026
🔢
Embeddings
Content type:
Blog
redis.io
·
1d
1 day ago
Actions for Redis vs Memorystore: key differences in 2026
Efficient and Robust Online
Learning
to
Rank
in Decentralized Systems
🔢
Embeddings
Content type:
Academic
arxiv.org
·
21h
21 hours ago
Actions for Efficient and Robust Online Learning to Rank in Decentralized Systems
New comment by aldoakhanov in "Ask HN: Who wants to be hired? (June 2026)"
🐍
Python
castlefootyai.com
·
6d
6 days ago
·
Hacker News
Actions for New comment by aldoakhanov in "Ask HN: Who wants to be hired? (June 2026)"
Show HN: LLM memory without context bleed; 100% precision vs. <10%
vector
search
🪟
Context Windows
tenureai.dev
·
6d
6 days ago
·
Hacker News
,
Hacker News
Actions for Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
How
Elasticsearch
cut metrics storage by 41% by dropping sequence numbers after replication
🪟
Context Windows
Content type:
Blog
elastic.co
·
1d
1 day ago
Actions for How Elasticsearch cut metrics storage by 41% by dropping sequence numbers after replication
Location: Charleston, SC Remote: Yes Willing to relocate: Yes Technologies: Ruby...
🧠
LLMs
Content type:
Discussion
news.ycombinator.com
·
6d
6 days ago
·
Hacker News
Actions for Location: Charleston, SC Remote: Yes Willing to relocate: Yes Technologies: Ruby...
Show HN: Ext-Infer
🪟
Context Windows
infer.displace.tech
·
4d
4 days ago
·
Hacker News
Actions for Show HN: Ext-Infer
New comment by curiouser12 in "Ask HN: Who wants to be hired? (June 2026)"
🤖
Automation
drive.google.com
·
3d
3 days ago
·
Hacker News
Actions for New comment by curiouser12 in "Ask HN: Who wants to be hired? (June 2026)"
RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code —
semantic
search
, context injection, session
learning
🔢
Embeddings
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
,
r/SideProject
,
r/mcp
,
r/vibecoding
Actions for RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code — semantic search, context injection, session learning
Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
🔢
Embeddings
Content type:
Blog
medium.com
·
3d
3 days ago
Actions for Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
Efficient Graph Indexing for Interval-Aware
Vector
Search
🔢
Embeddings
Content type:
Academic
arxiv.org
·
21h
21 hours ago
Actions for Efficient Graph Indexing for Interval-Aware Vector Search
Quantum computing, agentic AI, and the next infrastructure layer in financial services
🔢
Embeddings
Content type:
Blog
elastic.co
·
1d
1 day ago
Actions for Quantum computing, agentic AI, and the next infrastructure layer in financial services
10 MCP servers to connect LLMs with
databases
🔢
Embeddings
infoworld.com
·
3d
3 days ago
Actions for 10 MCP servers to connect LLMs with databases
Understanding HNSW: The Engine Behind Fast
Vector
Search
🔢
Embeddings
chimchim89.github.io
·
4d
4 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
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