From 9d9603368e5111ddf2352e618516aa03ac499b0e Mon Sep 17 00:00:00 2001 From: Yelyzaveta Losieva <36056528+ElizaLo@users.noreply.github.com> Date: Thu, 25 Jan 2024 00:35:00 +0200 Subject: [PATCH] Update README.md --- Word Embeddings/README.md | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/Word Embeddings/README.md b/Word Embeddings/README.md index a9bc54b..7873ab2 100644 --- a/Word Embeddings/README.md +++ b/Word Embeddings/README.md @@ -490,6 +490,7 @@ num_tokens_from_string(string, tokenizer) - [New and Improved Embedding Model](https://openai.com/blog/new-and-improved-embedding-model/), OpenAI blog ------ +## Vector Databases @@ -503,11 +504,22 @@ For searching over many vectors quickly, we recommend using a vector database. |[Weaviate](https://weaviate.io/)|

Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

| |[Faiss](https://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/)| A vector search algorithm by Facebook| +--- +## Search Algorithms + +- kNN (brute force) +- Approximate Nearest Neighbors +- Hierarchical Navigable Small World (HNSW) + +### 📰 Articles + +- [Similarity Search, Part 4: Hierarchical Navigable Small World (HNSW)](https://towardsdatascience.com/similarity-search-part-4-hierarchical-navigable-small-world-hnsw-2aad4fe87d37) + ------ -## Readady Solutions +## Ready Solutions | Title | Description, Information | | :---: | :--- |