Vector Databases

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

 📐Embeddings

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 📐Embeddings  Content type: Blog
elastic.co·

Hashtag Jakarta EE #336

 🔍RAG
agilejava.eu·

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 ⚙️Agent Frameworks  Content type: Blog  Content type: Discussion
tildalice.io·

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

 🧠LLMs

New comment by t_gamer_kle in "Ask HN: Who wants to be hired? (June 2026)"

 ✍️Prompt Engineering  Content type: Discussion

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 🔍RAG  Content type: News
blocksandfiles.com·

Horatio

 📐Embeddings  Content type: Blog
techlimitics.bearblog.dev·

Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.

 Inference  Content type: Code
github.com··DEV

Understanding HNSW: The Engine Behind Fast Vector Search

 📐Embeddings
chimchim89.github.io·

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

 🔍RAG  Content type: Blog
aws.amazon.com·

Best practices for building a modern app with vector search

 📐Embeddings  Content type: Blog
elastic.co·

The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure

 🔍RAG
devops.com·

10 MCP servers to connect LLMs with databases

 🔌MCP
infoworld.com·

Using protein language models for pangenome construction

 🧠LLMs  Content type: Academic
biorxiv.org·

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

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

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval

 🔍RAG  Content type: Academic
arxiv.org·

Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...

 ⚙️Agent Frameworks  Content type: Discussion

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

 🔍RAG
buy.polar.sh··DEV

Async Rust Meets Async Python: How Daft runs... by Colin Ho, Srinivas Lade

 📐Embeddings  Content type: Video
youtube.com·

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