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davidmyriel
2024-08-21 17:38:33 -07:00
parent 2a515dcb6f
commit 828979ab09
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Qdrant supports all available text and multimodal dense vector embedding models as well as vector embedding services without any limitations.
## The following have been tested and verified:
SentenceTransformers, BERT, SBERT, Clip, OpenClip, Open AI, Vertex AI, Azure AI, AWS Bedrock, Jina AI, Upstage AI, Mistral AI, Cohere AI, Voyage AI, Aleph Alpha, Baidu Qianfan, BGE, Instruct, Watsonx Embeddings, Snowflake Embeddings, NVIDIA NeMo, Nomic, OCI Embeddings, Ollama Embeddings, MixedBread, Together AI, Clarifai, Databricks Embeddings, GPT4All Embeddings, John Snow Labs Embeddings.
Additionally, [any open-source embeddings from HuggingFace](https://huggingface.co/spaces/mteb/leaderboard) can be used with Qdrant.
## Integration code samples:
## The following providers have been tested and verified:
| Embeddings Providers | Description |
| ----------------------------- | ----------- |
| [Aleph Alpha](./aleph-alpha/) | Multilingual embeddings focused on European languages. |
| [Bedrock](./bedrock/) | AWS managed service for foundation models and embeddings. |
| [BGE](./bge/) | Chinese embeddings for various NLP tasks. |
| [Clarifai](./clarifai/) | Embeddings for image and video recognition. |
| [Clip](./clip/) | Aligns images and text, created by OpenAI. |
| [Cohere](./cohere/) | Language model embeddings for NLP tasks. |
@@ -27,18 +22,19 @@ Additionally, [any open-source embeddings from HuggingFace](https://huggingface.
| [Gemini](./gemini/) | Google’s multimodal embeddings for text and vision. |
| [GPT4All](./gpt4all/) | Open-source, local embeddings for privacy-focused use. |
| [Instruct](./instruct/) | Embeddings tuned for following instructions. |
| [Jina](./jina-emebddngs/) | Customizable embeddings for neural search. |
| [Jina AI](./jina-embeddings/) | Customizable embeddings for neural search. |
| [John Snow Labs](./johnsnow/) | Medical and clinical embeddings. |
| [Mistral](./mistral/) | Open-source, efficient language model embeddings. |
| [MixedBread](./mixedbread/) | Lightweight embeddings for constrained environments. |
| [Nomic](./nomic/) | Embeddings for data visualization. |
| [Nvidia](./nvidia_nemo/) | GPU-optimized embeddings from Nvidia. |
| [Nvidia](./nvidia/) | GPU-optimized embeddings from Nvidia. |
| [OCI](./oci/) | Oracle Cloud’s AI service with embeddings. |
| [Ollama](./ollama/) | Embeddings for conversational AI. |
| [OpenAI](./openai/) | Industry-leading embeddings for NLP. |
| [OpenCLIP](./openclip/) | OS implementation of CLIP for image and text. |
| [Prem AI](./premai/) | Precise language embeddings. |
| [Snowflake](./snowflake/) | Scalable embeddings for big data. |
| [Together AI](./together_ai/) | Community-driven, open-source embeddings. |
| [Together AI](./togetherai/) | Community-driven, open-source embeddings. |
| [Upstage](./upstage/) | Embeddings for speech and language tasks. |
| [Voyage AI](./voyage/) | Navigation and spatial understanding embeddings. |
| [Watsonx](./watsonx/) | IBM's enterprise-grade embeddings. |
@@ -1,11 +1,6 @@
---
title: Clarifai
weight: 1200
aliases:
- /documentation/examples/clarifai-search/
- /documentation/tutorials/clarifai-search/
- /documentation/integrations/clarifai/
---
# Using Clarifai Embeddings with Qdrant
@@ -1,11 +1,6 @@
---
title: Clip
weight: 1300
aliases:
- /documentation/examples/clip-search/
- /documentation/tutorials/clip-search/
- /documentation/integrations/clip/
---
# Using Clip with Qdrant
@@ -1,11 +1,6 @@
---
title: Databricks Embeddings
weight: 1500
aliases:
- /documentation/examples/databricks-embeddings-search/
- /documentation/tutorials/databricks-embeddings-search/
- /documentation/integrations/databricks-embeddings/
---
# Using Databricks Embeddings with Qdrant
@@ -1,11 +1,6 @@
---
title: GPT4All
weight: 1700
aliases:
- /documentation/examples/gpt4all-search/
- /documentation/tutorials/gpt4all-search/
- /documentation/integrations/gpt4all/
---
# Using GPT4All with Qdrant
@@ -1,11 +1,6 @@
---
title: Instruct
weight: 1800
aliases:
- /documentation/examples/instruct-search/
- /documentation/tutorials/instruct-search/
- /documentation/integrations/instruct/
weight: 1800
---
# Using Instruct with Qdrant
@@ -1,11 +1,6 @@
---
title: John Snow Labs
weight: 2000
aliases:
- /documentation/examples/john-snow-labs-search/
- /documentation/tutorials/john-snow-labs-search/
- /documentation/integrations/john-snow-labs/
---
# Using John Snow Labs with Qdrant
@@ -21,7 +16,7 @@ pip install johnsnowlabs
```
Here is an example of how you mmight obtain embeddings using John Snow Labs's API and store them in a Qdrant collection:
Here is an example of how you might obtain embeddings using John Snow Labs's API and store them in a Qdrant collection:
```python
import qdrant_client
@@ -1,11 +1,6 @@
---
title: MixedBread
weight: 2200
aliases:
- /documentation/examples/mixedbread-search/
- /documentation/tutorials/mixedbread-search/
- /documentation/integrations/mixedbread/
---
# Using MixedBread with Qdrant
@@ -1,11 +1,6 @@
---
title: OCI (Oracle Cloud Infrastructure)
weight: 2500
aliases:
- /documentation/examples/oci-(oracle-cloud-infrastructure)-search/
- /documentation/tutorials/oci-(oracle-cloud-infrastructure)-search/
- /documentation/integrations/oci-(oracle-cloud-infrastructure)/
---
# Using OCI (Oracle Cloud Infrastructure) with Qdrant
@@ -1,11 +1,6 @@
---
title: Ollama
weight: 2600
aliases:
- /documentation/examples/ollama-search/
- /documentation/tutorials/ollama-search/
- /documentation/integrations/ollama/
---
# Using Ollama with Qdrant
@@ -1,11 +1,6 @@
---
title: OpenCLIP
weight: 2750
aliases:
- /documentation/examples/openclip-search/
- /documentation/tutorials/openclip-search/
- /documentation/integrations/openclip/
---
# Using OpenCLIP with Qdrant
@@ -1,11 +1,6 @@
---
title: Together AI
weight: 3000
aliases:
- /documentation/examples/together-ai-search/
- /documentation/tutorials/together-ai-search/
- /documentation/integrations/together-ai/
---
# Using Together AI with Qdrant