### Summary
```
/api/v1/chats/<chat_id>/sessions/<session_id>/messages/<msg_id> DELETE
/api/v1/chats/<chat_id>/sessions/<session_id>/messages/<msg_id>/feedback PUT
```
Migrates the chat session message delete and feedback APIs to the Go
server, matching the Python behavior for authorization, session
ownership checks, message/reference updates, and feedback validation.
### Testing
- `/usr/local/go/bin/go test ./internal/service ./internal/handler`
- Verified through the frontend page for deleting chat messages and
updating message feedback
### What problem does this PR solve?
As title:
implement:
```
/api/v1/messages/search GET
/api/v1/messages GET
/api/v1/messages/<memory_id>:<message_id>/content GET
/api/v1/memories/<memory_id>/config GET
/api/v1/messages/<memory_id>:<message_id> PUT
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Implement OpenAI chat completions in GO
POST /api/v1/openai/<chat_id>/chat/completions
OpenAI chat cli: internal/development.md
### Type of change
- [x] Refactoring
## Summary
- Implemented the Go API endpoint for Memory message forgetting:
- `DELETE /api/v1/messages/{memory_id}:{message_id}`
- Added route registration for the Memory message DELETE endpoint only.
- Added request path validation for `memory_id:message_id`.
- Added service logic to mark a message as forgotten by setting
`forget_at`.
- Preserved Python-compatible response behavior:
- Success returns `code: 0`, `message: true`, `data: null`.
- Added focused unit tests for message path parsing and invalid message
ID handling.
- Fixed Linux cgo linker config to use the installed shared PCRE2
library so Go tests/builds can run in this environment.
## Related Issue
Closes: #15240
## Change Type
- [x] Feature
- [x] Test
- [x] Build / CI compatibility
## Implemented API
- `DELETE /api/v1/messages/{memory_id}:{message_id}`
## Real Behavior Proof
Validated with targeted Go tests:
```bash
/tmp/go1.25.0/bin/go test ./internal/handler ./internal/router
```
Result:
```text
ok ragflow/internal/handler
? ragflow/internal/router [no test files]
```
Validated server entrypoint build:
```bash
/tmp/go1.25.0/bin/go build -o /tmp/ragflow-server-main ./cmd/server_main.go
```
Result:
```text
build succeeded
```
Validated patch formatting:
```bash
git diff --check
```
Result:
```text
no whitespace errors
```
## Checklist
- [x] Implemented only `DELETE
/api/v1/messages/{memory_id}:{message_id}`.
- [x] Did not implement unrelated Memory message APIs.
- [x] Added route registration.
- [x] Added handler validation.
- [x] Added service-level memory access check.
- [x] Added tests.
- [x] Ran targeted Go tests.
- [x] Ran server build validation.
- [x] Ran `git diff --check`.
## Summary
- Complete the Go Elasticsearch result functions that remained stubbed
after #15160.
- Add focused unit coverage for field mapping, aggregation, IDs, and
highlighting behavior.
- Update a stale query-builder test type import discovered during
validation.
## What changed
- Keep the Elasticsearch Go implementation merged in #15160 and fill in
`GetFields`, `GetAggregation`, `GetHighlight`, and `GetDocIDs` in
`internal/engine/elasticsearch/chunk.go`.
- Add regression and invariant coverage in
`internal/engine/elasticsearch/chunk_helpers_test.go`.
- Update `internal/service/nlp/query_builder_test.go` to use the current
`types.MatchTextExpr` type.
## Why
- #15160 implemented the main Go Elasticsearch surface, but
retrieval/tag flows still call result functions that returned stubs.
- Completing these functions keeps Elasticsearch result processing
aligned with the expected document-engine behavior for field extraction,
tag aggregation, doc ID extraction, and snippet highlighting.
## Validation
- `go test ./internal/engine/elasticsearch`
- `GOARCH=arm64 CGO_ENABLED=1 go test ./internal/service/nlp -run
TestQueryBuilder`
- `git diff --check`
- CodeRabbit review reported 0 issues after follow-up fixes.
- Codex Security diff scan found no reportable issues.
## Notes
- This PR is now a follow-up to #15160 rather than a competing
implementation.
- A full local `go test ./internal/service/nlp` run is blocked by local
WordNet resource prerequisites; the query-builder tests touched by this
PR pass with the arm64 CGO path.
### What problem does this PR solve?
```
RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png'
+----------------------------------------------------------+
| text |
+----------------------------------------------------------+
| 生活不是等待风暴过去，而是学会在雨中翩翩起舞。
——佚名 |
+----------------------------------------------------------+
RAGFlow(user)> list 'test@gitee' tasks;
+---------+----------------------------------+
| status | task_id |
+---------+----------------------------------+
| success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 |
+---------+----------------------------------+
RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5';
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+
| content | index |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+
| # PDF 1: Purpose of RAGFlow
RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Implement Delete in GO and refactor functions
### Type of change
- [x] Refactoring
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Added a remove_chunks command to delete specific or all chunks from a
document.
* Added new endpoints for chunk removal and chunk update.
* **Refactor**
* Renamed index commands to dataset/metadata table terminology and
updated REST routes accordingly.
* Updated chunk update flow to a JSON POST style and improved metadata
error messages.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
### What problem does this PR solve?
Implement UpdateDataset and UpdateMetadata in GO
Add cli:
UPDATE CHUNK <chunk_id> OF DATASET <dataset_name> SET <update_fields>
REMOVE TAGS 'tag1', 'tag2' from DATASET 'dataset_name';
SET METADATA OF DOCUMENT <doc_id> TO <meta>
### Type of change
- [ ] Refactoring
### What problem does this PR solve?
Implement InsertDataset and InsertMetadata in GO
new internal cli for go:
INSERT DATASET FROM FILE "file_name"
INSERT METADATA FROM FILE "file_name"
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Implement Create/Drop Index/Metadata index in GO
New API handling in GO:
POST/kb/index
DELETE /kb/index
POST /tenant/doc_meta_index
DELETE /tenant/doc_meta_index
CREATE INDEX FOR DATASET 'dataset_name' VECTOR_SIZE 1024;
DROP INDEX FOR DATASET 'dataset_name';
CREATE INDEX DOC_META;
DROP INDEX DOC_META;
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Implement GetChunk() in Infinity in GO
Add cli:
GET CHUNK 'XXX';
LIST CHUNKS OF DOCUMENT 'XXX';
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Add APIs to admin server.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
# RAGFlow Go Implementation Plan 🚀
This repository tracks the progress of porting RAGFlow to Go. We'll
implement core features and provide performance comparisons between
Python and Go versions.
## Implementation Checklist
- [x] User Management APIs
- [x] Dataset Management Operations
- [x] Retrieval Test
- [x] Chat Management Operations
- [x] Infinity Go SDK
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
