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fix readme #59

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Merged
merged 2 commits into from
Apr 9, 2024
Merged

fix readme #59

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7d79c21
fix readme
chensuyue Apr 9, 2024
2589601
ignore test for md change
chensuyue Apr 9, 2024
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1 change: 1 addition & 0 deletions .github/workflows/ChatQnA.yml
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Expand Up @@ -6,6 +6,7 @@ on:
types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
paths:
- ChatQnA/**
- "!**.md"
- .github/workflows/ChatQnA.yml
workflow_dispatch:

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1 change: 1 addition & 0 deletions .github/workflows/CodeGen.yml
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Expand Up @@ -6,6 +6,7 @@ on:
types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
paths:
- CodeGen/**
- "!**.md"
- .github/workflows/CodeGen.yml
workflow_dispatch:

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1 change: 1 addition & 0 deletions .github/workflows/DocSum.yml
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Expand Up @@ -6,6 +6,7 @@ on:
types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
paths:
- DocSum/**
- "!**.md"
- .github/workflows/DocSum.yml
workflow_dispatch:

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1 change: 1 addition & 0 deletions .github/workflows/SearchQnA.yml
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Expand Up @@ -6,6 +6,7 @@ on:
types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
paths:
- SearchQnA/**
- "!**.md"
- .github/workflows/SearchQnA.yml
workflow_dispatch:

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1 change: 1 addition & 0 deletions .github/workflows/VisualQnA.yml
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Expand Up @@ -6,6 +6,7 @@ on:
types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
paths:
- VisualQnA/**
- "!**.md"
- .github/workflows/VisualQnA.yml
workflow_dispatch:

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4 changes: 2 additions & 2 deletions ChatQnA/README.md
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Expand Up @@ -22,8 +22,8 @@ Steps to implement the solution are as follows

1. [Export TGI endpoint as environment variable](#customize-tgi-gaudi-service)
2. [Deploy a TEI container for Embedding model service and export the endpoint](#enable-tei-for-embedding-model)
3. [Launch a Redis container](#launch-redis) and ingest your knowledge base. This example provides few example PDF documents
4. [Build langchain](#launch-langchain-docker) container and start the Langchain service
3. [Launch a Redis container and Langchain container](#launch-redis-and-langchain-backend-service)
4. [Ingest data into redis](#ingest-data-into-redis), this example provides few example PDF documents
5. [Start the backend service](#start-the-backend-service) to accept queries to Langchain
6. [Start the GUI](#start-the-frontend-service) based chatbot service to experiment with RAG based Chatbot

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