FAISS
vector_db
Overview
Developed byMeta AI
Maintained byMeta AI Research
Founded2017
LicenseMIT
Open source✓ Open Source
Primary languageC++
Use caseefficient similarity search and clustering of dense vectors
Integrates with
Knowledge graph stats
Claims69
Avg confidence93%
Avg freshness99%
Last updatedUpdated yesterday
WikidataQ113481551
Trust distribution
100% unverified
Governance
Not assessed
FAISS
product
Meta AI library for efficient similarity search and clustering of dense vectors
Compare with...supports algorithm
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| k-nearest neighbors (k-NN) | ○Unverified | High | Fresh | 1 |
| approximate nearest neighbor | ○Unverified | High | Fresh | 1 |
| exact search | ○Unverified | High | Fresh | 1 |
| approximate nearest neighbor search | ○Unverified | High | Fresh | 1 |
| k-nearest neighbors search | ○Unverified | High | Fresh | 1 |
| Product Quantization | ○Unverified | High | Fresh | 1 |
| exact nearest neighbor search | ○Unverified | High | Fresh | 1 |
| k-means clustering | ○Unverified | High | Fresh | 1 |
| Inverted File Index (IVF) | ○Unverified | High | Fresh | 1 |
| Hierarchical Navigable Small World (HNSW) | ○Unverified | High | Fresh | 1 |
supports hardware
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| CPU | ○Unverified | High | Fresh | 1 |
| GPU (CUDA) | ○Unverified | High | Fresh | 1 |
| GPU | ○Unverified | High | Fresh | 1 |
| GPU acceleration via CUDA | ○Unverified | High | Fresh | 1 |
| GPU acceleration | ○Unverified | High | Fresh | 1 |
| CUDA | ○Unverified | Moderate | Fresh | 1 |
provides bindings for
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
supports language
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| C++ | ○Unverified | High | Fresh | 1 |
| Python | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| efficient similarity search and clustering of dense vectors | ○Unverified | High | Fresh | 1 |
| efficient similarity search and clustering of dense vectors at scale | ○Unverified | High | Fresh | 1 |
| similarity search and clustering of dense vectors | ○Unverified | High | Fresh | 1 |
pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| free | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Qdrant | ○Unverified | High | Fresh | 1 |
| Hnswlib | ○Unverified | Moderate | Fresh | 1 |
| Annoy | ○Unverified | Moderate | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| LangChain | ○Unverified | High | Fresh | 1 |
| NumPy | ○Unverified | High | Fresh | 1 |
| scikit-learn | ○Unverified | Moderate | Fresh | 1 |
programming language
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| C++ | ○Unverified | High | Fresh | 1 |
| C++ | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MIT | ○Unverified | High | Fresh | 1 |
| MIT License | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Meta AI | ○Unverified | High | Fresh | 1 |
| Meta AI Research | ○Unverified | High | Fresh | 1 |
| Facebook AI Research (FAIR) | ○Unverified | High | Fresh | 1 |
| Facebook AI Research | ○Unverified | High | Fresh | 1 |
has binding for
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
supports gpu acceleration
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| CUDA | ○Unverified | High | Fresh | 1 |
| true | ○Unverified | High | Fresh | 1 |
supports index type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| IVF (Inverted File Index) | ○Unverified | High | Fresh | 1 |
| IndexFlatL2 | ○Unverified | High | Fresh | 1 |
| IndexIVFFlat | ○Unverified | High | Fresh | 1 |
| HNSW | ○Unverified | High | Fresh | 1 |
| IVF | ○Unverified | High | Fresh | 1 |
| IVF (Inverted File) | ○Unverified | High | Fresh | 1 |
| HNSW (Hierarchical Navigable Small World) | ○Unverified | High | Fresh | 1 |
has bindings for
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
supports gpu
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
supports acceleration
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| GPU acceleration | ○Unverified | High | Fresh | 1 |
| GPU (CUDA) | ○Unverified | High | Fresh | 1 |
| GPU | ○Unverified | High | Fresh | 1 |
supports distance metric
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| L2 distance | ○Unverified | High | Fresh | 1 |
| inner product | ○Unverified | High | Fresh | 1 |
maintained by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Meta AI Research | ○Unverified | High | Fresh | 1 |
| Meta AI | ○Unverified | High | Fresh | 1 |
| Meta | ○Unverified | High | Fresh | 1 |
written in
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| C++ | ○Unverified | High | Fresh | 1 |
supports language binding
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
supports platform
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| GPU acceleration | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| BLAS | ○Unverified | High | Fresh | 1 |
| BLAS library | ○Unverified | Moderate | Fresh | 1 |
| NumPy | ○Unverified | Moderate | Fresh | 1 |
initial release year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2017 | ○Unverified | Moderate | Fresh | 1 |
first released year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2017 | ○Unverified | Moderate | Fresh | 1 |
first released
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2017 | ○Unverified | Moderate | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2017 | ○Unverified | Moderate | Fresh | 1 |
competes with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Annoy | ○Unverified | Moderate | Fresh | 1 |