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Feat/v1.3: Refactor for efficiency and speed #64

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Feat/v1.3: Refactor for efficiency and speed #64

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a3867a5
feat: use new openai models in chat and query enhancer
parambharat Feb 1, 2024
7d6a187
feat: use new models and embeddings model
parambharat Feb 1, 2024
50aadb5
chore: run linting and formatting changes
parambharat Feb 1, 2024
0e231b9
Merge branch 'feat/v1.1' into feat/v1.2
parambharat Feb 1, 2024
c027dde
chore: add simple multi-index query engine with router
parambharat Feb 1, 2024
ac58107
refactor: move retriever to separate module.
parambharat Feb 2, 2024
aa0427a
refactor: split out routers in the api
parambharat Feb 2, 2024
be5b8c2
feat: add retriever routing and params
parambharat Feb 2, 2024
aced990
feat: add routes to api client and update operation ids in openapi spec
parambharat Feb 2, 2024
477d83b
feat: add you retriever separately in the end
parambharat Feb 2, 2024
3e246eb
feat: switch to chromadb from faiss for speed
parambharat Feb 2, 2024
c868d67
refactor: complete project overhaul to improve efficiency
parambharat Feb 7, 2024
e933232
refactor: formatting and linting
parambharat Feb 7, 2024
281bec7
stash: stash changes in handlers
parambharat Feb 8, 2024
0cc6bda
chore: switch add local changes on swordfish
parambharat Feb 9, 2024
63b3e77
Merge branch 'feat/v1.3' of github.com:wandb/wandbot into feat/v1.3
parambharat Feb 9, 2024
9533214
chore: run formatters on updated code
parambharat Feb 9, 2024
dc89d3d
stash: stash changes in handlers
parambharat Feb 10, 2024
d655cac
chore: stash response synthesis changes
parambharat Feb 10, 2024
cd3fee0
Merge branch 'feat/v1.3' of github.com:wandb/wandbot into feat/v1.3
parambharat Feb 10, 2024
0ca26c0
feat: add new response synthesis module and parsers
parambharat Feb 10, 2024
4d4a739
Merge branch 'feat/v1.3' of github.com:wandb/wandbot into feat/v1.3
parambharat Feb 10, 2024
3dfb0bd
chore: run formatters and cleanup
parambharat Feb 10, 2024
53147bd
feat: add parent document retriever to the rag pipeline
parambharat Feb 10, 2024
da57bb0
chore: run formatters and linters
parambharat Feb 10, 2024
65bc123
feat: add safesearch are improve fusion reranking.
parambharat Feb 11, 2024
4dff405
chore: run linters and formatters
parambharat Feb 11, 2024
aac8c3d
feat: add new rag pipeline into chat interface
parambharat Feb 13, 2024
a4d5a25
feat: fix chat endpoint with api
parambharat Feb 13, 2024
e12d163
refactor: change up the RAG pipeline with descriptors
parambharat Feb 14, 2024
0f74841
chore: run linters and formatters
parambharat Feb 14, 2024
36e5679
feat: re-add retrieval endpoint and handle punctuations better in lan…
parambharat Feb 15, 2024
b7fcc05
cleanup: remove old prompts from data
parambharat Feb 15, 2024
b0cc5bb
cleanup: remove llama_index utils
parambharat Feb 15, 2024
1564287
chore: run linters and formatters
parambharat Feb 15, 2024
fb0a14f
fix: remove italics pattern from mrkdwn formatter
parambharat Feb 15, 2024
605af74
refactor: change and compress the pipeline for simplicity
parambharat Feb 16, 2024
80029c5
chore: run formatters and linters
parambharat Feb 16, 2024
2088f51
fix: run.sh to add zendesk app correctly
parambharat Feb 16, 2024
074923e
fix: use single vectorstore across retrieval and chat
parambharat Feb 21, 2024
a5cef8a
Merge branch 'feat/v1.3' of github.com:wandb/wandbot into feat/v1.3
parambharat Feb 21, 2024
6871a78
feat: change embeddings to large model
parambharat Mar 15, 2024
26deea8
fix: clean up commented out code
parambharat Mar 15, 2024
7278f82
fix: clean up commented out prompt
parambharat Mar 15, 2024
f64bf5a
fix: clean up commented out web answer part
parambharat Mar 15, 2024
dc5cd9c
fix: clean up extra whitespace from intent descriptions
parambharat Mar 15, 2024
1796b85
merge: main and resolve conflicts run.sh
parambharat Mar 15, 2024
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -111,8 +111,8 @@ We employed a few auto evaluation strategies to speed up the iteration process o

## Overview of the Implementation

1. Creating Document Embeddings with FAISS
2. Constructing the Q&A Pipeline using llama-index
1. Creating Document Embeddings with ChromaDB
2. Constructing the Q&A RAGPipeline
3. Selection of Models and Implementation of Fallback Mechanism
4. Deployment of the Q&A Bot on FastAPI, Discord, and Slack
5. Utilizing Weights & Biases Tables for Logging and Analysis
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22 changes: 0 additions & 22 deletions data/prompts/chat_prompt.json
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