Issues
- 0
LangGraph example issue with 1.1 api: type error
#1987 opened by luca-git - 14
Unable to add and retreive memory
#1971 opened by JadeVexo - 3
How can I get the answer without adding memory again?
#1976 opened by water-in-stone - 0
Compatibility with chromadb ^0.5.0
#1982 opened by Rainismer - 2
graph store can't work
#1975 opened by koi646 - 4
Milvus memory can't update
#1948 opened by hhtower - 0
- 2
Embedding the same document and store in vectorDB with different metadata
#1909 opened by vrajpatel04 - 2
Can't add memory
#1970 opened by t41372 - 1
- 4
relevant_memories in mem0/proxy/main.py misisng "result" key when using Ollama and chat completion
#1913 opened by aiqueneldar - 4
unable to use graph memory
#1942 opened by Divyanshu9822 - 0
Supporting LLM routing by integrating Not Diamond
#1936 opened by devanshrj - 5
python sdk update memory bug
#1917 opened by YZF-Myself - 8
Graph memory example throws error with Neo4j
#1906 opened by except-pass - 6
Error Encountered After Configuring LLM with Ollama Provider in Config File
#1903 opened by vrajpatel04 - 0
Can't save after mem.reset()
#1947 opened by femto - 1
change function_calling_prompt
#1955 opened by dreamfly32 - 1
- 1
- 2
Didn't add memory to graph
#1879 opened by galshubeli - 2
upgrade to latests langchian
#1933 opened by motobob - 1
Circular Import
#1938 opened by JerryPan2718 - 1
Milvus throws an exception Bug
#1911 opened by fenggaobj - 2
AWSBedrockLLM.generate_response() got an unexpected keyword argument 'response_format'
#1910 opened by ketvector - 0
Embedchain and mem0 dependency conflicts.
#1891 opened by parshvadaftari - 0
MemoryClient.get_all seems to be returning a list of memories. Is the type definition of the return value correct?
#1912 opened by rahim-figs - 5
Basic memory retrieval doesn't work
#1895 opened by Shakahs - 1
Tests for vertexai embedding
#1902 opened by NavyaAlapati13 - 3
no storage
#1901 opened by GuilhermeVoyna - 1
Memory related to scheduling
#1889 opened by tomorrowthief - 2
Json output for different models varies
#1885 opened by PranavPuranik - 0
Im trying to run the example code with groq llm and hf embedding, and I got this error ValueError: Expected each embedding in the embeddings to be a list, got ['float']
#1881 opened by JINO-ROHIT - 1
embedchain project
#1878 opened by ArYan339 - 1
User cannot load persisted ChromaDB
#1873 opened by vrajpatel04 - 3
Custom Categories example from docs does not work
#1863 opened by uahmad235 - 7
Issue Description: Encountered a TypeError when using the chroma configuration from the documentation for setting up vector-db.
#1866 opened by chengzi0103 - 3
Add vectordb tests
#1867 opened by Dev-Khant - 2
when use chroma, wrapper has not been initialized
#1833 opened by Justin-sky - 5
- 0
SurrealDB Graph store provider
#1853 opened by mysticaltech - 0
expand entity to include conceptual entity
#1839 opened by bingjiw - 1
GET ALL MEMORIES OF USER
#1855 opened by deconasser - 3
Add Support for Vertex AI Embeddings
#1827 opened by Divyanshu9822 - 0
- 3
Azure Openai Deployment throwing error
#1852 opened by uahmad235 - 1
Add CONTRIBUTING.md for mem0
#1835 opened by Dev-Khant - 2
[bug]: new_memories_with_actions sometimes produces response that are not JSON for Azure OpenAI
#1841 opened by spike-spiegel-21 - 1
Error: choice in chat_completion.choices: AttributeError: 'str' object has no attribute 'choices' with mem0ai (0.1.11)
#1838 opened by bingjiw - 2
Pinecone As Vector database
#1825 opened by ketangangal