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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)

[D] What model should I use for image matching and search use case?

[D] Creating test cases for retrieval evaluation

Building RAG systems at enterprise scale (20K+ docs): lessons from 10+ enterprise implementations

[Project] Otters 🦦 - A minimal vector search library with powerful metadata filtering

EmbeddingGemma - 300M parameter, state-of-the-art for its size, open embedding model from Google

Most Common RAG Fails?

I'm building local, open-source, fast, efficient, minimal, and extendible RAG library I always wanted to use

[D] Clarification on text embeddings models

Code execution + search is the most powerful combo for AI agents

Google

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embeddinggemma-300m

Task: sentence-similarity

run-llama

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llama_index

LlamaIndex is the leading framework for building LLM-powered agents over your data.

kuzudb

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kuzu

Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.

lancedb

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lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

chroma-core

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chroma

Open-source search and retrieval database for AI applications.

milvus-io

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milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

facebookresearch

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faiss

A library for efficient similarity search and clustering of dense vectors.

meilisearch

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meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

pgvector

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pgvector

Open-source vector similarity search for Postgres

qdrant

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qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/