Mistral Small 3 Review
Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.
Key Features
Modular: Cognee is modular by nature, using tasks grouped into pipelines
Local Setup: By default, LanceDB runs locally with NetworkX and OpenAI.
Vector Stores: Cognee supports LanceDB, Qdrant, PGVector and Weaviate for vector storage.
Language Models (LLMs): You can use either Anyscale or Ollama as your LLM provider.
Graph Stores: In addition to NetworkX, Neo4j is also supported for graph storage.
Use Cases
Memory for AI Agents
Ontology definition
Entity resolution
Chatbot memory
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