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Show HN: Semantic search over the National Gallery of Art

Intelligent Search in Rails with Typesense

ThalamusDB: Query text, tables, images, and audio

Show HN: I Wrote a Full Text Search Engine from Scratch in Go

Vec<T>

Why We Need SIMD

Show HN: Recall: Give Claude perfect memory with Redis-backed persistent context

86 GB/s bitpacking with ARM SIMD (single thread)

Why we need SIMD

deepseek-ai/DeepSeek-V3.2 · Hugging Face

I Built 10+ Multi-Agent Systems at Enterprise Scale (20k docs). Here's What Everyone Gets Wrong.

LLM vs LLM with Websearch

🚀 DeepSeek released DeepSeek-V3.1-Terminus

[D] Strategies for Routing LLMs

I made a Visual Search Engine that lets you explore Reddit content (SFW + NSFW)

Everyone’s trying vectors and graphs for AI memory. We went back to SQL.

Everyone’s trying vectors and graphs for AI memory. We went back to SQL.

Google

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embeddinggemma-300m

Task: sentence-similarity

weaviate

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weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

google

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highway

Performance-portable, length-agnostic SIMD with runtime dispatch

neuml

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txtai

💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows