## Description
Updated the Ollama embedding API endpoint in `.env.template` from
`/api/embeddings` to `/api/embed` to align with Ollama's current API
standards. The `/api/embeddings` endpoint has been deprecated and
superseded by `/api/embed`, which is now the recommended endpoint for
generating vector embeddings.
This change ensures users following the template will configure the
correct endpoint when setting up Ollama integration, preventing
potential API errors and maintaining compatibility with current Ollama
versions.
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [x] Documentation update
## Screenshots/Videos (if applicable)
N/A - Configuration file change only
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## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
This document provides guidelines for working with the cognee repository, including project structure, development commands, coding style, testing, and commit practices.
Fixed a typo in the installation instructions.
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## Description
Adds more info to telemetry
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## Screenshots/Videos (if applicable)
None
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Since standalone MCP changes were not in `cognee-mcp:main`, we had to
temporarily use custom tagged image before changes could be merged into
main.
This PR sets image to follow `cognee-mcp:main` now that the change is in
main.
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- Automatically finds negative user feedback and generates better
answers
- All tasks work with the same FeedbackEnrichment DataPoint that gets
filled out as it moves through the memify pipeline
- Creates new nodes and edges in the knowledge graph, linking improved
answers back to the original feedback and interactions
- Includes a complete example showing how to set up a conversation, ask
questions, submit feedback, and run the enrichment pipeline when answers
are wrong
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