typesense-instantsearch-semantic-search-demo VS autofaiss

Compare typesense-instantsearch-semantic-search-demo vs autofaiss and see what are their differences.

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 (by typesense)

autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters. (by criteo)
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typesense-instantsearch-semantic-search-demo autofaiss
1 3
22 752
- 2.3%
3.0 5.6
9 months ago 15 days ago
JavaScript Python
Apache License 2.0 Apache License 2.0
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-semantic-search-demo

Posts with mentions or reviews of typesense-instantsearch-semantic-search-demo. 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...

autofaiss

Posts with mentions or reviews of autofaiss. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.
  • You Don't Need LangChain;
    1 project | news.ycombinator.com | 18 Sep 2023
    I might be wrong here. I just know some product quantization techniques, but you can reduce the index by a lot! However, from my research, the more size you reduce, the more retrieval quality is also reduced.

    Quoting from https://github.com/criteo/autofaiss

  • Cheapest Vector Database
    1 project | /r/MLQuestions | 12 Jun 2023
    Autofaiss - https://github.com/criteo/autofaiss can be configured to make extremely tiny and efficient indexes.
  • Vector database built for scalable similarity search
    19 projects | news.ycombinator.com | 25 Mar 2023
    Don't start with mullivus if you're learning. Too much yak shaving. Try https://github.com/criteo/autofaiss.

    Also, TBH, it is a lot cheaper to run a simple faiss index.

What are some alternatives?

When comparing typesense-instantsearch-semantic-search-demo and autofaiss you can also consider the following projects:

sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!

vespa - AI + Data, online. https://vespa.ai

milvus-lite - A lightweight version of Milvus

awesome-vector-search - Collections of vector search related libraries, service and research papers

pgvector - Open-source vector similarity search for Postgres

towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

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​.

txtai - đŸ’¡ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

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