Comments (1)
Hi! If you checkout the project readme and the app UI when it loads, there's an architecture diagram and explanation.
Redis (via RediSearch) stores document embeddings. When you ask a question,
- we embed the question with OpenAI.
- we search redis for relevant document chunks (that help answer the question) using vector similarity search.
- we pipe the results OpenAI GPT to synthesize an actual answer.
from arxivchatguru.
Related Issues (13)
- api access error
- Re-enable use of other LLMs
- Support more LLM controls
- Support Conversational Memory and multiple conversations
- ArXiv ChatGuru HOT 1
- docker compose up error!! help HOT 5
- Connection error 10061
- Redis ConnectionError
- H
- redis error HOT 1
- Can vectorstore be superimposed continuously? HOT 7
- Expand to more LLM providers
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