Linking pages
- LLM Powered Autonomous Agents | Lil'Log https://lilianweng.github.io/posts/2023-06-23-agent/ 177 comments
- Picking a vector database: a comparison and guide for 2023 https://benchmark.vectorview.ai/vectordbs.html 121 comments
- GitHub - vdaas/vald: Vald. A Highly Scalable Distributed Vector Search Engine https://github.com/vdaas/vald 35 comments
- Announcing ScaNN: Efficient Vector Similarity Search – Google AI Blog https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html 33 comments
- How to Reduce Memory Requirements by up to 90%+ using Product Quantization | Weaviate - vector database https://weaviate.io/blog/pq-rescoring 5 comments
- Searching for Visually Similar Artworks - ai.SensiLab http://ai.sensilab.monash.edu/2018/09/17/similarity-search-engine/ 2 comments
- GitHub - erikbern/ann-benchmarks: Benchmarks of approximate nearest neighbor libraries in Python https://github.com/erikbern/ann-benchmarks 2 comments
- GitHub - jobergum/dense-vector-ranking-performance: Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN https://github.com/jobergum/dense-vector-ranking-performance 1 comment
- Build a semantic search engine in Python - Vikas Paruchuri https://www.vikas.sh/post/semantic-search-guide 1 comment
- GitHub - spotify/voyager: 🛰️ Voyager is an approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability. https://github.com/spotify/voyager 1 comment
- Knowledge Graph Search of 60 Million Vectors with Weaviate | by Charles Pierse | Keenious | Medium https://medium.com/keenious/knowledge-graph-search-of-60-million-vectors-with-weaviate-7964657ec911 0 comments
- Approximate Nearest Neighbor Search in Vespa — Part 1 | by Geir Storli | vespa | Medium https://medium.com/vespa/approximate-nearest-neighbor-search-in-vespa-part-1-36be5f43b8d1 0 comments
- GitHub - vintasoftware/entity-embed: PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors. https://github.com/vintasoftware/entity-embed/ 0 comments
- Real-time semantic search demo - Paul's blog https://paulw.tokyo/post/real-time-semantic-search-demo/ 0 comments
- Vector Library versus Vector Database | Weaviate - vector database https://weaviate.io/blog/vector-library-vs-vector-database 0 comments
- A pure python LSH nearest neighbors implementation https://softwaredoug.com/blog/2023/08/21/implementing-random-projections 0 comments
- Qdrant vs pgvector - Results from the 1M OpenAI Benchmark - NirantK https://nirantk.com/writing/pgvector-vs-qdrant/ 0 comments
- Introducing Voyager: Spotify's New Nearest-Neighbor Search Library - Spotify Engineering : Spotify Engineering https://engineering.atspotify.com/2023/10/introducing-voyager-spotifys-new-nearest-neighbor-search-library/ 0 comments
- Great Algorithms Are Not Enough | Pinecone https://www.pinecone.io/blog/hnsw-not-enough/ 0 comments
- 32x Reduced Memory Usage With Binary Quantization | Weaviate - Vector Database https://weaviate.io/blog/binary-quantization 0 comments