Add Amazon Bedrock Knowledge base as a RAG Engine (retriever) #427
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can I build the chatbot off of this branch? |
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Yes, you can now use this branch to deploy as it has been synched with |
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@massi-ang Thank you so much, this worked for me |
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There are few conflicts that needs to be resolved first |
| enterprise: false | ||
| enterprise: false, | ||
| }, | ||
| knowledgeBase: { |
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nit: suggestion bedrock or bedrockKnowledgeBase. Other properties name the service.
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Do they? I see aurora, kendra, ...
lib/shared/layers/python-sdk/python/genai_core/bedrock_kb/client.py
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lib/user-interface/react-app/src/pages/rag/create-workspace/create-workspace.tsx
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lib/user-interface/react-app/src/pages/rag/create-workspace/kb-form.tsx
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lib/user-interface/react-app/src/pages/rag/create-workspace/kb-form.tsx
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…m-chatbot into feat_bedrock_kb
- remove dev files - remove console.log - remove unused code
…nto feat_bedrock_kb
charles-marion
approved these changes
Aug 6, 2024
lloydclowes
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Oct 5, 2024
…mples#427) * feat(kb): initial * feat(bedrock_kb): initial * feat(bedrock_kb): knowledge base support * feat(bedrock_kb): delete workspaces * feat(bedrock_kb): config * feat(bedrock_kb): hybrid search * feat(bedrock_kb): upgrade boto3 * fix(cohere_embeddings): correct set the `input_type` * feat(kb): add Bedrock KB to the welcome page * fix(no unused var): correct ignore * fix: correct enum values * feat(bedrock_kb): metadata filters * feat(bedrock_kb): dedup * feat(llama3): adapter * feat(bedrock_kb): merge to latest * chore: updating code to use langchain-community * feat(bedrock): fix error * fix(bedrock_kb): magic cli * fix: correct path to compiled files * chore: removed wrongly tracked file * fix: fix review feedback - remove dev files - remove console.log - remove unused code * fix: remove feature under development * fix: typescript errors * fix: ignore code un `dist` to avoid recursive builds * tests: update test snapshot and fix call order * test: fix rag tests
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Issue #, if available:
Resolves #271
Description of changes:
With this PR we are adding Amazon Bedrock Knowledge Bases as additional RAG Engine (retrievers).
The KB must be already created and available in the same region used by Bedrock. The integration supports both semantic retrieval and hybrid retrieval via the KB retrieve API.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.