feat(knowledge): add embedding model selection and Cohere reranker - #4349

Merged

waleedlatif1 merged 22 commits into

stagingfrom

waleedlatif1/embedding-model-research

Apr 30, 2026

Commits on Apr 30, 2026

feat(knowledge): add embedding model selection and Cohere reranker
waleedlatif1
committed
9614a28
fix(knowledge): split reranker model constants into client-safe module
waleedlatif1
committed
c56b7a4
fix(knowledge): bill rerank on every successful API call and fix MDX docs literal
waleedlatif1
committed
5d1446f
test(knowledge): align embedding tests with provider abstraction changes
waleedlatif1
and
claude
committed
553021a
fix(knowledge): require explicit Azure deployment per OpenAI embedding model
waleedlatif1
and
claude
committed
542d2ed
fix(knowledge): skip platform reranker billing for BYOK Cohere keys
waleedlatif1
and
claude
committed
d70ac8f
fix(knowledge): match search tokenizer to embedding provider; remove dead var
waleedlatif1
and
claude
committed
57589cb
fix(knowledge): match chunk tokenizer to KB embedding provider
waleedlatif1
and
claude
committed
96cf4dd
refactor(knowledge): centralize tokenizer mapping on EmbeddingModelInfo
waleedlatif1
and
claude
committed
14538a1
refactor(knowledge): lock embedding model to KB_EMBEDDING_MODEL env var
waleedlatif1
and
claude
committed
7a9ba8b
fix(knowledge): use provider tokenizer for chunks and bound rerank indices
waleedlatif1
and
claude
committed
53624f3
fix(knowledge): use .count from estimateTokenCount return value
waleedlatif1
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claude
committed
97fa4d5
fix(knowledge): only enforce single embedding model when query is present
waleedlatif1
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claude
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b1643ee
fix(knowledge): use getConfiguredEmbeddingModel in copilot KB creation
waleedlatif1
and
claude
committed
78d6af7
fix(knowledge): make EMBEDDING_DIMENSIONS a literal type
waleedlatif1
and
claude
committed
687b7f5
fix(knowledge): use per-KB embedding model in v1 search route
waleedlatif1
and
claude
committed
f7eef61
chore(knowledge): polish embedding/reranker implementation
waleedlatif1
and
claude
committed
cb1cab7
fix(knowledge): resolve type errors and unhandled rejection in search routes
waleedlatif1
and
claude
committed
5dfaed2
fix(knowledge): pass Gemini API key via x-goog-api-key header
waleedlatif1
and
claude
committed
b73c218
fix(knowledge): default Azure deployment name to embedding model name
waleedlatif1
and
claude
committed
64a17db
fix(knowledge): cap Gemini batches at 100 items, add singular GEMINI_API_KEY fallback
waleedlatif1
and
claude
committed
99743d9
fix(knowledge): prefer singular Cohere key before rotation
waleedlatif1
and
claude
committed
8fd0557

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feat(knowledge): add embedding model selection and Cohere reranker - #4349

feat(knowledge): add embedding model selection and Cohere reranker#4349
waleedlatif1 merged 22 commits into
stagingfrom
waleedlatif1/embedding-model-research

Commits on Apr 30, 2026

feat(knowledge): add embedding model selection and Cohere reranker

fix(knowledge): split reranker model constants into client-safe module

fix(knowledge): bill rerank on every successful API call and fix MDX docs literal

test(knowledge): align embedding tests with provider abstraction changes

fix(knowledge): require explicit Azure deployment per OpenAI embedding model

fix(knowledge): skip platform reranker billing for BYOK Cohere keys

fix(knowledge): match search tokenizer to embedding provider; remove dead var

fix(knowledge): match chunk tokenizer to KB embedding provider

refactor(knowledge): centralize tokenizer mapping on EmbeddingModelInfo

refactor(knowledge): lock embedding model to KB_EMBEDDING_MODEL env var

fix(knowledge): use provider tokenizer for chunks and bound rerank indices

fix(knowledge): use .count from estimateTokenCount return value

fix(knowledge): only enforce single embedding model when query is present

fix(knowledge): use getConfiguredEmbeddingModel in copilot KB creation

fix(knowledge): make EMBEDDING_DIMENSIONS a literal type

fix(knowledge): use per-KB embedding model in v1 search route

chore(knowledge): polish embedding/reranker implementation

fix(knowledge): resolve type errors and unhandled rejection in search routes

fix(knowledge): pass Gemini API key via x-goog-api-key header

fix(knowledge): default Azure deployment name to embedding model name

fix(knowledge): cap Gemini batches at 100 items, add singular GEMINI_API_KEY fallback

fix(knowledge): prefer singular Cohere key before rotation