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Merged
tsivaprasad merged 12 commits into from
Apr 23, 2026
Merged

docs: add RAG service documentation and deployment guide #359

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95698a3
docs: add RAG service documentation and deployment guide
tsivaprasad Apr 21, 2026
6b43be6
addressing AI review comments
tsivaprasad Apr 21, 2026
453f5a7
addressing review comments
tsivaprasad Apr 22, 2026
9575b8e
docs: resolve index.md conflict and apply stylesheet
tsivaprasad Apr 22, 2026
abc4015
docs: resolve index.md merge conflict with main
tsivaprasad Apr 22, 2026
83ce643
docs: revert unintended MCP description change in index.md
tsivaprasad Apr 22, 2026
7f29558
docs: fix RRF score values in RAG response examples
tsivaprasad Apr 22, 2026
2d4c6c0
addressing review comments
tsivaprasad Apr 22, 2026
69c87ad
addressing pgedge-skill docs review comments
tsivaprasad Apr 22, 2026
0dcab01
addressing AI review comments
tsivaprasad Apr 22, 2026
c8668ef
Refine language and formatting in rag.md
susan-pgedge Apr 23, 2026
68c9d53
Update documentation for shared defaults in pipelines
susan-pgedge Apr 23, 2026
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3 changes: 3 additions & 0 deletions changes/unreleased/Added-20260422-004204.yaml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
kind: Added
body: Add RAG service with hybrid vector + LLM search
time: 2026-04-22T00:42:04.283582+05:30
5 changes: 3 additions & 2 deletions docs/services/index.md
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Expand Up @@ -15,8 +15,9 @@ the following service types:
- The [pgEdge Postgres MCP Server](mcp.md) connects AI agents and
LLM-powered applications to your database, enabling natural language
queries and AI-powered data access.
- The pgEdge RAG Server *(coming soon)* enables retrieval-augmented
generation workflows using your database as a knowledge store.
- The [pgEdge RAG Server](rag.md) enables retrieval-augmented generation
workflows using your database as a knowledge store, returning
LLM-synthesized answers grounded in your data.
- [PostgREST](postgrest.md) automatically generates a REST API from
your PostgreSQL schema, making your data accessible over HTTP without
writing backend code.
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