typesense-instantsearch-semanti
milvus-lite
| typesense-instantsearch-semanti | milvus-lite | |
|---|---|---|
| 1 | 4 | |
| - | 158 | |
| - | 13.3% | |
| - | 7.9 | |
| - | 2 days ago | |
| C++ | ||
| - | Apache License 2.0 |
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typesense-instantsearch-semanti
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Vector database built for scalable similarity search
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...
milvus-lite
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Simplifying the Milvus Selection Process
Github Repository
- FLaNK Stack Weekly 16 October 2023
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Vector databases: analyzing the trade-offs
Shameless self-plug for our embedded vector database milvus-lite (https://github.com/milvus-io/milvus-lite):
pip install milvus -
Vector database built for scalable similarity search
Don't start with Milvus clustered version, not unless you have like 100million vectors.
Try Milvus standalone instead, much simpler. I also just found their python version (https://github.com/milvus-io/embd-milvus), which is quite neat.
What are some alternatives?
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
vespa - AI + Data, online. https://vespa.ai
pgvector - Open-source vector similarity search for Postgres
examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
autofaiss - Automatically create Faiss knn indices with the most optimal similarity search parameters.
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
kafka-ui - Open-Source Web UI for Apache Kafka Management
karapace - Karapace - Your Apache Kafka® essentials in one tool
CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock - CML_AMP_AI_Text_Summarization_with_Amazon_Bedrock