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Information Retrieval
📚 Information Retrieval
Search Algorithms, Ranking Systems, TF-IDF, Document Similarity
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286
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ms
HNSW vs LSH: How
Elasticsearch
hits 0.99
recall
@10 at 15,000 QPS — and what it costs
📊
Embeddings
Content type:
Blog
elastic.co
·
3d
3 days ago
Actions for HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
Agent Memory Database: Build It on TiDB with SQL and Python
🔍
RAG
Content type:
Blog
pingcap.com
·
1d
1 day ago
Actions for Agent Memory Database: Build It on TiDB with SQL and Python
Building AI shopping agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service
🔍
RAG
Content type:
Blog
aws.amazon.com
·
18h
18 hours ago
Actions for Building AI shopping agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service
Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control
🔍
RAG
Content type:
Blog
cockroachlabs.com
·
1d
1 day ago
Actions for Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control
OneRetrieval: Unifying Multi-Branch E-commerce
Retrieval
with an Editable Generative Model
🔍
RAG
Content type:
Academic
arxiv.org
·
5h
5 hours ago
Actions for OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model
I built a free extension that adds shared folders +
search
across ChatGPT, Claude and Gemini
🔍
RAG
foldery.app
·
3d
3 days ago
·
r/chrome_extensions
Actions for I built a free extension that adds shared folders + search across ChatGPT, Claude and Gemini
gharibyan/agent-memory: TypeScript SDK for building AI agents with automatic, scoped, persistent memory. `agent-memory` wraps model calls with memory
recall
and learning so apps can keep useful user, thread, and operation context without manually stuffing long chat histories into every prompt.
📊
Embeddings
Content type:
Code
github.com
·
15h
15 hours ago
·
Hacker News
Actions for gharibyan/agent-memory: TypeScript SDK for building AI agents with automatic, scoped, persistent memory. `agent-memory` wraps model calls with memory recall and learning so apps can keep useful user, thread, and operation context without manually stuffing long chat histories into every prompt.
Explore OpenSearch 3.7
🔍
RAG
Content type:
Blog
opensearch.org
·
2d
2 days ago
Actions for Explore OpenSearch 3.7
Private
Information
Retrieval
: Share Conversions vs. Decoding Polynomials
🤖
recommendation systems, LLM, large langurage model
eprint.iacr.org
·
3d
3 days ago
Actions for Private Information Retrieval: Share Conversions vs. Decoding Polynomials
Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...
🔍
RAG
Content type:
Discussion
news.ycombinator.com
·
1d
1 day ago
·
Hacker News
Actions for Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...
Build a Knowledge Graph in Azure HorizonDB with AI Functions and
Apache
AGE
🔍
RAG
techcommunity.microsoft.com
·
16h
16 hours ago
Actions for Build a Knowledge Graph in Azure HorizonDB with AI Functions and Apache AGE
Redis vs Memorystore: key differences in 2026
🔍
RAG
Content type:
Blog
redis.io
·
1d
1 day ago
Actions for Redis vs Memorystore: key differences in 2026
How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
🔍
RAG
buy.polar.sh
·
3d
3 days ago
·
DEV
Actions for How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
TifBERT: a self-supervised foundation model for normalization-robust bulk RNA-seq representation learning
🤖
Transformers
Content type:
Academic
biorxiv.org
·
18h
18 hours ago
Actions for TifBERT: a self-supervised foundation model for normalization-robust bulk RNA-seq representation learning
Model2vec-zig: static text embeddings in pure Zig, in a single binary
📊
Embeddings
ziggit.dev
·
14h
14 hours ago
Actions for Model2vec-zig: static text embeddings in pure Zig, in a single binary
Elastic
brings AI-driven incident investigation to Kubernetes and observability tools
🔍
RAG
helpnetsecurity.com
·
2d
2 days ago
Actions for Elastic brings AI-driven incident investigation to Kubernetes and observability tools
Your AI agent reads the fine print: building a RAG pipeline over EU regulations with
Elasticsearch
and OGX
🔍
RAG
Content type:
Blog
elastic.co
·
3d
3 days ago
Actions for Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
New comment by curiouser12 in "Ask HN: Who wants to be hired? (June 2026)"
🔤
NLP
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)"
How to Build an Agentic RAG with RubyLLM and Rails
🔍
RAG
Content type:
Blog
panasiti.me
·
2d
2 days ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
Charge as a Construct-Validity Factor in Chinese Legal Case
Retrieval
: A Cross-Benchmark Audit
🤖
recommendation systems, LLM, large langurage model
Content type:
Academic
arxiv.org
·
5h
5 hours ago
Actions for Charge as a Construct-Validity Factor in Chinese Legal Case Retrieval: A Cross-Benchmark Audit
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