Vector Databases

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Scoured 46 posts in 11.8 ms

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

 🔍RAG  Content type: Code
github.com··Hacker News

How to Build an Agentic RAG with RubyLLM and Rails

 🔍RAG  Content type: Blog
panasiti.me··Hacker News

I Built a Private AI That Answers Questions From My Own PDFs — Entirely on My Laptop

 🤖LLMs
pub.towardsai.net
·
Less-relevant results

a desktop GUI to browse, search, & visualize your vector databases

 🔍RAG
vectorlens.dev··Hacker News

cylburn

 🔍RAG
margarinalia.my·

How to Set Up Codebase Indexing in Kilo Code

 🔍RAG  Content type: News  Content type: Blog
blog.kilo.ai·

Embedding pipelines are the new ETL

 🔍RAG  Content type: Blog
infoworld.com·

GoodQ02/goodq4all: Local-first multimodal epistemic memory for scene-level video, audio, and text intelligence.

 🗃️SQLite  Content type: Code
github.com··Hacker News

The Read Model Zoo: Projections Beyond Tables - EventSourcingDB

 🗄️Database Design  Content type: Blog  Content type: Reference

An ode to self-optimizing query plans

 🔍RAG

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 🧠AI

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 🤖LLMs
pub.towardsai.net
·

Rayforce

 💾Database Systems  Content type: Code

10 MCP servers to connect LLMs with databases

 🧠AI
infoworld.com·

luckyrmp/tinderbox-archive: Personal claude.ai conversation archive: schema, ingest, embeddings, hybrid retrieval, MCP server

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

What is Agentic RAG? Building Multi-Agent Agentic RAG Systems

 🤖AI agents
pub.towardsai.net
·

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

 ✍️Prompt Engineering

What an LLM Actually Does With Your Prompt First

 🤖Transformers
siliconopera.com·

Microsoft’s Web IQ aims to give enterprise AI agents real-time web intelligence

 🤖AI agents
infoworld.com·

Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?

 🤖LLMs
pub.towardsai.net
·

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