RAG

retrieval augmented generation, vector search, embeddings, knowledge base

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Scoured 231 posts in 7.9 ms

Build a Knowledge Graph in Azure HorizonDB with AI Functions and Apache AGE

 🖥️Backend Development

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 🤖AI Engineering  Content type: Blog
towardsai.net·
Less-relevant results

granite4.1-guardian

 🤖AI Engineering
ollama.com·

Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore

 🤖AI Engineering  Content type: Blog
aws.amazon.com·

Show HN: Ext-Infer

 🧠LLMs

Emmanuel Gatwech

 🤖AI Engineering

The AI Agents Stack (2026 Edition)

 🤖AI Engineering  Content type: Blog

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

 🖥️Backend Development  Content type: Blog
pingcap.com·

Vector Space Hackathon 2026

 🧠LLMs  Content type: Blog
qdrant.tech·

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 🤖AI Engineering  Content type: News
blocksandfiles.com·

Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control

 🤝AI Agents  Content type: Blog
cockroachlabs.com·

Uncertainty-Aware Hybrid Retrieval for Long-Document RAG

 🤖AI Engineering  Content type: Academic
arxiv.org·

Best practices for building a modern app with vector search

 🤖AI Engineering  Content type: Blog
elastic.co·

TurboQuant in PostgreSQL

 🖥️Backend Development  Content type: Blog
blog.mayflower.de·

Explore OpenSearch 3.7

 🖥️Backend Development  Content type: Blog
opensearch.org·

How to Defend Against Prompt Injection in Production

 🤝AI Agents  Content type: Reference
leanpub.com··DEV

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.

 🤝AI Agents  Content type: Code
github.com··DEV

Influence Factors on RAG Poisoning

 🤖AI Engineering  Content type: Academic
arxiv.org·

Understanding HNSW: The Engine Behind Fast Vector Search

 🧠LLMs
chimchim89.github.io·

Context engineering for AI agents: the infrastructure behind every decision

 🧠LLMs  Content type: Blog
redis.io·

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