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Hande Kafkas
cognee
Growth and AI Engineering
#7770345
5 followers
5 following
72 points
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11 Reviews
Hande Kafkas
used
OpenAI
to build
cognee
•
11 reviews
OpenAI is our default LLM provider and a common choice among our users.
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10mo ago
Hande Kafkas
used
Mistral AI
to build
cognee
•
11 reviews
Mistral is the European model of choice and long context windows are ftw
What's great
long context windows (1)
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2 views
10mo ago
Hande Kafkas
used
Ollama
to build
cognee
•
11 reviews
Ollama is the choice for our users wanting local graphs, works best with 32b param models.
What's great
local AI model deployment (10)
supports large models (1)
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6 views
10mo ago
Hande Kafkas
used
Langfuse
to build
cognee
•
11 reviews
Langfuse is our choice when observability and tracing are the key. Our clients love their tool and we do too!
What's great
LLM observability (8)
detailed tracing (3)
Helpful
(1)
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10mo ago
Hande Kafkas
used
Confident AI
to build
cognee
•
11 reviews
Confident AI is the best evaluation framework out there!!
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10mo ago
Hande Kafkas
used
FalkorDB
to build
cognee
•
11 reviews
Falkor merges vector and graph databases and has an amazing team!
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10mo ago
Hande Kafkas
used
Milvus
to build
cognee
•
11 reviews
Milvus is a great choice when the scability is not an option but a must. Great team to work with.
What's great
scalability (3)
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1 view
10mo ago
Hande Kafkas
used
Neo4j Graph Database
to build
cognee
•
11 reviews
Neo4j is the top graph database out there and working with Tomaz from their side is a blast.
What's great
helpful support (2)
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10mo ago
Hande Kafkas
used
LanceDB
to build
cognee
•
11 reviews
Lancedb works well for users wanting in-memory database and PyArrow is definitely a good choice.
What's great
in-memory database (1)
PyArrow support (1)
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10mo ago
Hande Kafkas
used
Weaviate
to build
cognee
•
11 reviews
Weaviate is amazing! It lets us manage the data at scale when we need and how we need it.
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10mo ago
Hande Kafkas
used
Qdrant Cloud Inference
to build
cognee
•
11 reviews
Qdrant is easy to use, fastembed is our favorite tool and developer documentation is no match.
What's great
fast performance (7)
excellent documentation (3)
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(1)
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10mo ago
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