Rag (Retreival Augmented Generation) Python solution with llama3, LangChain, Ollama and ChromaDB in a Flask API based solution
License: Apache License 2.0
recation.py:139: LangChainDeprecationWarning: Since Chroma 0.4.x the manual persistence method is no longer supported as docs are automatically persisted.
warn_deprecated(
what should we change in the code?
My company has hosted llama3 in one of the EC2 machine, and they have exposed api to use it. First get the token from token server and then use that token to query the AI. Could you please help me what changes in the code I need to do?
can you please add endpoint to delete a specific document. once if I deleted that then it should not be in pdf and chormadb
installing requirements.txt fails. What OS and version of python are you using? I have tried this on Windows and Ubuntu with Python 3.9.5
ERROR: Could not find a version that satisfies the requirement onnxruntime==1.17.3 (from -r requirements.txt (line 63)) (from versions: 1.7.0, 1.8.0, 1.8.1, 1.9.0, 1.10.0, 1.11.0, 1.11.1, 1.12.0, 1.12.1, 1.13.1, 1.14.0, 1.14.1, 1.15.0, 1.15.1, 1.16.0, 1.16.1, 1.16.2, 1.16.3)
ERROR: No matching distribution found for onnxruntime==1.17.3 (from -r requirements.txt (line 63))
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