🔎 Tantivy - emschwartz

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Agentic search - retrieval, harness, or model?

🕸️Sparse Vectors Blog

softwaredoug.com

··Hacker News

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

📋MCP Code

github.com··Hacker News

Agent Memory Database: Build It on TiDB with SQL and Python

🎯Vector Search Blog

pingcap.com·

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

🏗️Search Infrastructure Blog

elastic.co·

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

📋MCP Discussion

yourmemoryai.vercel.app··Hacker News

Towards Retrieving Interaction Spaces for Agentic Search

🕸️Sparse Vectors Academic

arxiv.org·

paradedb/drizzle-paradedb: Official extension to Drizzle for use with ParadeDB

🔍Paradedb Code

github.com··r/javascript, r/node, r/typescript

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

🕸️Sparse Vectors Academic

arxiv.org·

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

🚀Astral Code

github.com··Hacker News

RISE: A Rust Library for Inverted Index Search Engines

📑Inverted Indexes Academic

arxiv.org·

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

🔍Search Indexing Code

github.com··Hacker News, r/opensource

The Brain That Goes Quiet: Serving a Large Model's Knowledge at 131 Tokens per Second on an 8 GB Laptop by Removing the Large Model from the Runtime Path

🤖AI Academic

arxiv.org·

Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade

🕸️Sparse Vectors

pub.towardsai.net

The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content

🕸️Sparse Vectors Academic

arxiv.org·

texttron/BrowseComp-Plus: BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent (ACL 2026 Main)

🤖AI Code

github.com··Hacker News

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

🕸️Sparse Vectors Academic

arxiv.org·

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents

🤖AI Academic

arxiv.org·

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STORM: Stepwise Token Optimization with Reward-Guided Beam Search

Best practices for building a modern app with vector search

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

Agentic search - retrieval, harness, or model?

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

Agent Memory Database: Build It on TiDB with SQL and Python

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

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

Towards Retrieving Interaction Spaces for Agentic Search

paradedb/drizzle-paradedb: Official extension to Drizzle for use with ParadeDB

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

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

RISE: A Rust Library for Inverted Index Search Engines

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

The Brain That Goes Quiet: Serving a Large Model's Knowledge at 131 Tokens per Second on an 8 GB Laptop by Removing the Large Model from the Runtime Path

Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade

The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content

texttron/BrowseComp-Plus: BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent (ACL 2026 Main)

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

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents