typesense-instantsearch-semanti VS awesome-vector-search

Compare typesense-instantsearch-semanti vs awesome-vector-search and see what are their differences.

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typesense-instantsearch-semanti awesome-vector-search
1 20
- 1,294
- 3.9%
- 5.7
- about 1 month ago
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

typesense-instantsearch-semanti

Posts with mentions or reviews of typesense-instantsearch-semanti. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.
  • Vector database built for scalable similarity search
    19 projects | news.ycombinator.com | 25 Mar 2023
    We added HNSW-based vector search to Typesense as well recently: https://typesense.org/docs/0.24.0/api/vector-search.html

    So you can combine attribute-based filters along with nearest-neighbor search.

    Put together this semantic search + filtering demo just last week: https://github.com/typesense/typesense-instantsearch-semanti...

awesome-vector-search

Posts with mentions or reviews of awesome-vector-search. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-07.

What are some alternatives?

When comparing typesense-instantsearch-semanti and awesome-vector-search you can also consider the following projects:

typesense-instantsearch-semantic-search-demo - A demo that shows how to build a semantic search experience with Typesense's vector search feature and Instantsearch.js

pgvector - Open-source vector similarity search for Postgres

annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

autofaiss - Automatically create Faiss knn indices with the most optimal similarity search parameters.

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

milvus-lite - A lightweight version of Milvus

Milvus - A cloud-native vector database, storage for next generation AI applications

hnswlib - Header-only C++/python library for fast approximate nearest neighbors

featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

vearch - Distributed vector search for AI-native applications

marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai