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lgabs
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dialog
Dialog is a production-ready Q&A Application with LLMs, using Langchain and LangServe.
MIT License
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Update README.md
#17
lgabs
closed
1 month ago
1
use System, Human and AI patterns for prompts roles for OpenAI chat models
#16
lgabs
opened
1 month ago
0
Add evaluation suite
#15
lgabs
closed
1 month ago
2
fix docker structure
#14
lgabs
closed
2 months ago
0
organizando pra funcionar melhor com o docker compose
#13
mcbianconi
closed
2 months ago
1
Dockerizando melhor
#12
lgabs
closed
2 months ago
0
add notebook showing examples for client
#11
lgabs
opened
2 months ago
0
allow env var for embedding cols
#10
lgabs
closed
2 months ago
1
for rag with history, avoid standalone question when history is empty
#9
lgabs
closed
2 months ago
1
add a way to "fine-tune" some params like top_k documents in retrieval
#8
lgabs
opened
2 months ago
0
use langchain_postgres for memory as well
#7
lgabs
opened
2 months ago
1
use logging to make_embeddings instead of prints
#6
lgabs
closed
2 months ago
0
Add basic unit tests
#5
lgabs
opened
2 months ago
0
Add use case or branch using in-memory vectordb/retriever and also in-memory chat history
#4
lgabs
opened
2 months ago
0
use embedding id in for pgvector
#3
lgabs
opened
2 months ago
0
Tasks already done
#2
lgabs
closed
2 months ago
0
New prj structure
#1
lgabs
closed
2 months ago
1