Comments (3)
Dev-Khant
commented on September 6, 2024
@jonabert, can you please check and verify whether you are getting answers related to context by querying the app or not?
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jonabert
commented on September 6, 2024
can you be more specific in what I shall test? I'm using the full-stack example
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Dev-Khant
commented on September 6, 2024
can you be more specific in what I shall test? I'm using the full-stack example
Sure, here can check that after adding your data, when you query your bot are you getting relevant answers? I mean answers around the context of your data source.
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Related Issues (20)
- Readme as a small bug
- Hard-coded model name in MemoryGraph HOT 3
- memory/memory_graph.py is always set to use OpenAI HOT 3
- Data sources on embedchain.ai
- Feature request: make the sending of client data optional HOT 1
- Automate Package Installation for Missing Dependencies HOT 6
- Inconsistency in capitalizations HOT 3
- Bug: TypeError: Memory.add() got an unexpected keyword argument 'messages' HOT 3
- Add Reset API for Client HOT 7
- Adding githooks for uniform code formatting HOT 1
- Personal Assistant example doesn't work with v1.1
- Poetry missing rank_bm25 from commit 822a8ac and dependency resolution failure
- embedchain dependency of mem0ai causing "Read-only file system error" when using AWS Lambda
- DOC: add CHANGELOG for pypi package HOT 1
- Filtering by user_id in graph memory search results does not work HOT 2
- No module named 'mem0.memory.main_graph'
- Adding Deep infra models HOT 1
- ollama._types.ResponseError: json: cannot unmarshal object into Go struct field ChatRequest.format of type string HOT 2
- Save fact data in db with same language with user's input HOT 1
- Unknown name \"additionalProperties\" error with (probably) Google Gemini
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