Real ChatGPT answer · index seednPhwX8PaVcIcompleteB2B software · data and analytics platformsinformational
I am helping my grandson evaluate open-source tech, and we want to know how to go about choosing a vector database for upcoming semantic search projects in 2024.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am helping my grandson evaluate open-source tech, and we want to know how to go about choosing a vector database for upcoming semantic search projects in 2024.
5 real searches · 1 real-search pass
open source vector databases 2024 comparison Qdrant Milvus Weaviate Chroma pgvector features licensing benchmarksGoogle ↗
OBSERVED
Qdrant documentation open source license filtering hybrid search distributed deploymentGoogle ↗
OBSERVED
Milvus documentation open source vector database scalability index types filteringGoogle ↗
OBSERVED
Weaviate documentation open source vector database hybrid search modules licenseGoogle ↗
OBSERVED
Chroma documentation open source embedding database features persistenceGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 5 queries…
Searches and sources
ChatGPT5 real searches · gpt-6
open source vector databases 2024 comparison Qdrant Milvus Weaviate Chroma pgvector features licensing benchmarks Google ↗
Qdrant documentation open source license filtering hybrid search distributed deployment Google ↗
Milvus documentation open source vector database scalability index types filtering Google ↗
Weaviate documentation open source vector database hybrid search modules license Google ↗
Chroma documentation open source embedding database features persistence Google ↗
- GitHub - qdrant/qdrant: Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ · github.com
- Open Source Vector Database: Milvus, Apache 2.0 · milvus.io
- Hybrid search · docs.weaviate.io
- GitHub - weaviate/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. · github.com
- Official documentation · qdrant.tech
- Official documentation · milvus.io
- Official documentation · docs.weaviate.io
- Introduction · docs.trychroma.com
- Official GitHub repository · github.com
- GitHub project · github.com
- GitHub project · github.com
Queries
5 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
open source vector databases 2024 comparison Qdrant Milvus Weaviate Chroma pgvector features licensing benchmarks OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Qdrant documentation open source license filtering hybrid search distributed deployment OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Milvus documentation open source vector database scalability index types filtering OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Weaviate documentation open source vector database hybrid search modules license OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Chroma documentation open source embedding database features persistence OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |