🎯 Embedding Models - rektide

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

🔍Search Indexing Blog

elastic.co·

Building Semantic Search with Transformers.js and Sentence Embeddings

🎯Vector Search

machinelearningmastery.com·

The Reliability Stack for AI Agents [Part 2]

🤖AI Agents Blog

medium.com·

Stable Geometry, Reversing Poles: The Bipolar Structure of AI Occupational Substitutability and Its Decade-Scale Inversion

🤖AI Agents Academic

arxiv.org·

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

🔍Information Retrieval

buy.polar.sh··DEV

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

🔍Search Indexing Code

github.com··Hacker News

Less-relevant results

Nietzsche on master and slave morality

🧩Malleable Software News Blog

hilariusbookbinder.substack.com

··Substack

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.

📌Embedding Retrieval Code

github.com··DEV

Casual experiment hint that models seem to search for different stuff

🤖AI Agents

spock.is··Hacker News

test: fence embedding provider secrets env · openclaw/openclaw@6bb91b2

🌐Noosphere Code

github.com·

Kyros-494/kyros-ai: Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

🤖AI Agents Code

github.com··r/CLine

Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store

🔍Information Retrieval

xavierforge.dev··Hacker News

rennf93/roboco: RoboCo: 20-agent software company with role-gated lifecycle. Self-hosted. AGPL.

🤖AI Agents Code

github.com··Hacker News

I built a local memory engine for AI agents using Rust, Python, and a 10,000D mathematical array.

🔌Embedded Code

github.com··r/SideProject

null-drift: Using tokio RwLocks and bincode to build an O(1) fault-tolerant AI memory architecture.

🔌Embedded Code

github.com··r/rust

cleanmcp/clean-mcp: Reduce token usage. All local and open-source.

🧠Query Planners Code

github.com··r/mcp

MongoDB as a Vector Database for AI Agents-MongoDB

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

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

Building Semantic Search with Transformers.js and Sentence Embeddings

The Reliability Stack for AI Agents [Part 2]

Stable Geometry, Reversing Poles: The Bipolar Structure of AI Occupational Substitutability and Its Decade-Scale Inversion

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

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

Nietzsche on master and slave morality

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.

Casual experiment hint that models seem to search for different stuff

test: fence embedding provider secrets env · openclaw/openclaw@6bb91b2

Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store

rennf93/roboco: RoboCo: 20-agent software company with role-gated lifecycle. Self-hosted. AGPL.

I built a local memory engine for AI agents using Rust, Python, and a 10,000D mathematical array.

null-drift: Using tokio RwLocks and bincode to build an O(1) fault-tolerant AI memory architecture.

cleanmcp/clean-mcp: Reduce token usage. All local and open-source.