MongoDB Atlas Vector Search
Database Feature
Overview
Developed byMongoDB Inc.
Use casesemantic search and similarity matching using vector embeddings
Technical
Integrates with
Knowledge graph stats
Claims31
Avg confidence92%
Avg freshness99%
Last updatedUpdated 5 days ago
Trust distribution
100% unverified
Governance
Not assessed
MongoDB Atlas Vector Search
product
Vector search capability within MongoDB Atlas for similarity search on high-dimensional data.
Compare with...based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MongoDB Atlas database platform | ○Unverified | High | Fresh | 1 |
| MongoDB Atlas | ○Unverified | High | Fresh | 1 |
| Apache Lucene | ○Unverified | High | Fresh | 1 |
maintained by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MongoDB Inc. | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MongoDB Atlas | ○Unverified | High | Fresh | 1 |
| MongoDB Atlas cluster | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MongoDB Inc. | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| semantic search and similarity matching using vector embeddings | ○Unverified | High | Fresh | 1 |
| vector similarity search for AI applications | ○Unverified | High | Fresh | 1 |
| semantic search and retrieval-augmented generation | ○Unverified | High | Fresh | 1 |
| semantic search applications | ○Unverified | High | Fresh | 1 |
| vector similarity search for AI and machine learning applications | ○Unverified | High | Fresh | 1 |
supports protocol
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MongoDB Query API | ○Unverified | High | Fresh | 1 |
| MongoDB Query Language | ○Unverified | High | Fresh | 1 |
| MongoDB Query Language (MQL) | ○Unverified | High | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| HNSW algorithm | ○Unverified | High | Fresh | 1 |
| hierarchical navigable small world (HNSW) algorithm | ○Unverified | High | Fresh | 1 |
| sentence-transformers | ○Unverified | Moderate | Fresh | 1 |
pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| usage-based pricing as part of MongoDB Atlas | ○Unverified | High | Fresh | 1 |
| pay-per-use cloud service | ○Unverified | High | Fresh | 1 |
| pay-as-you-go cloud service | ○Unverified | Moderate | Fresh | 1 |
| usage-based pricing | ○Unverified | Moderate | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| LangChain | ○Unverified | High | Fresh | 1 |
| OpenAI | ○Unverified | High | Fresh | 1 |
| Hugging Face | ○Unverified | High | Fresh | 1 |
| LangChain framework | ○Unverified | Moderate | Fresh | 1 |
| OpenAI embeddings | ○Unverified | Moderate | Fresh | 1 |
| Hugging Face transformers | ○Unverified | Moderate | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| dedicated vector databases | ○Unverified | Moderate | Fresh | 1 |
competes with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Pinecone | ○Unverified | Moderate | Fresh | 1 |
| Weaviate | ○Unverified | Moderate | Fresh | 1 |