Search Engines

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Scoured 30 posts in 24.6 ms

Bringing a dead Spring Boot project back to life with Claude

 🦀Rust

RISE: A Rust Library for Inverted Index Search Engines

 🤖AI  Content type: Academic
arxiv.org·

hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.

 🤖AI  Content type: Code
github.com··Hacker News

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 🤖AI
pub.towardsai.net
·

The Read Model Zoo: Projections Beyond Tables - EventSourcingDB

 🤖AI  Content type: Blog  Content type: Reference

Agentic Search Models with OpenSearch and Elasticsearch

 🤖AI  Content type: Blog
bonsai.io··Hacker News

STORM: Stepwise Token Optimization with Reward-Guided Beam Search

 🤖AI  Content type: Academic
arxiv.org·

Agentic search - retrieval, harness, or model?

 🤖AI  Content type: Blog

Aperio: Lightweight search engine in Rust – GBs of data in < 1ms, < 256MB RAM

 🦀Rust  Content type: Code

Towards Retrieving Interaction Spaces for Agentic Search

 🤖AI  Content type: Academic
arxiv.org·

Build your own college curriculum with OpenLibrary

 💬NLP

DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single query substrate

 🤖AI  Content type: Code
github.com··Hacker News

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

 🤖AI  Content type: Academic
arxiv.org·

An ode to self-optimizing query plans

 🤖AI
Less-relevant results

Show HN: Lore – LLM proxy for coding agent context and memory management

 🤖AI
withlore.ai··Hacker News

TrustMargin: Training-Free Arbitration between Parametric Memory and Retrieved Evidence in Large Language Models

 🤖AI  Content type: Academic
arxiv.org·

How RAG Actually Finds Answers (Part 2): HNSW, IVF, BM25, Hybrid Search and Re-Ranking | M011 |…

 🤖AI
pub.towardsai.net
·

SmithDB

 🤖AI  Content type: News

Training-Free Lexical-Dense Fusion for Conversational-Memory Retrieval

 🤖AI  Content type: Academic
arxiv.org·

Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem

 🤖AI  Content type: Discussion

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