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Quentin de Quelen
Meilisearch
Make technology accessible
#239919
132 followers
11 following
192 points
✨ 3 day streak
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About
Forums
Activity
Upvotes
2 Hunted
5 Collections
2 Stacks
17 Reviews
Quentin de Quelen
used
Gemini
to build
Meilisearch Chat
(122 points)
•
17 reviews
Great at providing the richer answers
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1 view
3mo ago
Quentin de Quelen
used
OpenAI
to build
Meilisearch Chat
(122 points)
•
17 reviews
The gold standard for natural, thoughtful responses.
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3mo ago
Quentin de Quelen
used
Mistral AI
to build
Meilisearch Chat
(122 points)
•
17 reviews
Open, efficient models we can fine-tune and run anywhere.
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2 views
3mo ago
Quentin de Quelen
used
Langchain
to build
Meilisearch Chat
(122 points)
•
17 reviews
Connects all the moving parts of our chat stack.
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3mo ago
Quentin de Quelen
used
Cohere
to build
Meilisearch Chat
(122 points)
•
17 reviews
We use Cohere 3.5 reranker for our personalization feature
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3mo ago
Quentin de Quelen
used
Rust
to build
Meilisearch Chat
(122 points)
•
17 reviews
Meilisearch is Built in Rust and we love the community. Fast, safe, and reliable.
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3mo ago
Quentin de Quelen
used
Hugging Face
to build
Meilisearch Chat
(122 points)
•
17 reviews
The easiest way to play with open LLMs and embeddings.
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1 view
3mo ago
Quentin de Quelen
used
AWS
to build
Meilisearch Chat
(122 points)
•
17 reviews
Keeps us scale with everything running fast, smooth, and reliable.
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3mo ago
Quentin de Quelen
used
Mistral AI
to build
Meilisearch AI
(257 points)
•
17 reviews
Open-source excellence—fast, high-quality models pushing AI forward.
What's great
open source models (4)
open technology commitment (3)
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13 views
11mo ago
Quentin de Quelen
used
Cohere
to build
Meilisearch AI
(257 points)
•
17 reviews
Top-notch models, especially for reranking, boosting search precision.
What's great
reranking models (1)
boosting search precision (2)
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1 view
11mo ago
Quentin de Quelen
used
Langchain
to build
Meilisearch AI
(257 points)
•
17 reviews
Simplifying RAG workflows & integrating beautifully with Meilisearch.
What's great
model integration (10)
RAG workflows (5)
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11mo ago
Quentin de Quelen
used
Claude by Anthropic
to build
Meilisearch AI
(257 points)
•
17 reviews
Thanks for MCP, making compatibility easy with your incredible Claude models!
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11mo ago
Quentin de Quelen
used
jinaai
to build
Meilisearch AI
(257 points)
•
17 reviews
Delivering top-tier CLIP models, powering image search at Meilisearch.
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11mo ago
Quentin de Quelen
used
OpenAI
to build
Meilisearch AI
(257 points)
•
17 reviews
Seamless platform, making Meilisearch AI easily compatible with all OpenAI embedding models.
What's great
AI integration ease (21)
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11mo ago
Quentin de Quelen
used
Hugging Face
to build
Meilisearch AI
(257 points)
•
17 reviews
Building the best OSS model ecosystem & platform for devs everywhere.
What's great
open source models (4)
AI community (8)
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3 views
11mo ago
Quentin de Quelen
used
AWS
to build
Meilisearch AI
(257 points)
•
17 reviews
Reliable infra, K8s, Graviton—our foundation for performance & scalability.
What's great
scalable infrastructure (34)
reliable cloud services (36)
AWS Graviton (1)
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11mo ago
Quentin de Quelen
used
Rust
to build
Meilisearch AI
(257 points)
•
17 reviews
Powering performance, scalability & rock-solid security for Meilisearch.
What's great
fast performance (10)
scalability (3)
security (2)
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11mo ago
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