Thanks, I did it, but it seems the pluggin doesnt do the connection with clip_server. I did all configuration, did the index in a folder, but seems the vector/embbeding fields were not created.Im useinf docker-fess and fess-webapp-multimodal.
If I type in shell, it seems to work.
root@BOOK-GJ6J9V6VMO:~/projetos/fess-webapp-multimodal/docker# curl ``http://localhost:51000/health
root@BOOK-GJ6J9V6VMO:~/projetos/fess-webapp-multimodal/docker# curl -X POST ``http://localhost:51000/post`` \localhost:51000/post
-H “Content-Type: application/json”
-d ‘{
“data”: [
{ “text”: “Olá mundo” }
]
}’
{“header”:{“requestId”:“1b63caf40a0f4c91bf280e9b57d490b8”,“status”:null,“execEndpoint”:“/”,“targetExecutor”:“”},“parameters”:{},“routes”:[{“executor”:“gateway”,“startTime”:“2026-01-09T16:05:35.240794+00:00”,“endTime”:“2026-01-09T16:05:35.451015+00:00”,“status”:null},{“executor”:“clip_t”,“startTime”:“2026-01-09T16:05:35.241360+00:00”,“endTime”:“2026-01-09T16:05:35.450758+00:00”,“status”:null}],“data”:[{“id”:“e79fe98cef90b079322dc1ebb1e05126”,“parent_id”:null,“granularity”:null,“adjacency”:null,“blob”:null,“tensor”:null,“mime_type”:“text/plain”,“text”:“Olá mundo”,“weight”:null,“uri”:null,“tags”:null,“offset”:null,“location”:null,“embedding”:[-0.1254069060087204,0.299478143453598,0.1459125429391861,0.4431505799293518,0.267265260219574,-0.005216884892433882,0.11335912346839905,-0.17063884437084198,-0.22779327630996704,-0.13812005519866943,0.24077263474464417,0.07004224509000778,0.24057352542877197,-0.21115213632583618,0.2680405080318451,0.14614853262901306,0.5129282474517822,0.3141632676124573,-0.03199547901749611,-0.030459556728601456,0.5904394388198853,0.31719979643821716,0.11348757147789001,0.43460267782211304,-0.058622680604457855,0.09890718758106232,-0.09799454361200333,-0.07286898791790009,0.06573415547609329,-0.1760665327310562,0.11994878947734833,0.1962401568889618,0.20231778919696808,-6206207,-0.12586230039596558,0.3536868393421173,-0.13873650133609772,-0.06312992423772812,-0.12842786312103271,0.2405141294002533,0.17222976684570312,0.19128718972206116,0.11145064234733582,-0.1384078562259674,0.06437516957521439,-0.04375717416405678,0.03449968621134758,-0.4600175619125366,0.07898217439651489,-0.028386082500219345,0.1715378612279892,0.3502017855644226,0.3418833017349243,0.3145323395729065,-0.055887266993522644,0.1646079123020172,0.22201411426067352,-1.3727118968963623,-0.02284044586122036,-0.08098156005144119,0.281898558139801,0.011977099813520908,0.06097819283604622,0.21255812048912048,0.011525479145348072,-0.1606294810771942,-0.05101858451962471,0.19945228099822998,0.28732237219810486,-0.733752429485321,0.4951048195362091,-0.14550141990184784,0.17979173362255096,-0.207539364695549,-0.107437364757061,0.33592918515205383,-0.023923877626657486,0.3339875340461731,0.1251959353685379,0.33928021788597107,-0.21044714748859406,0.007305499166250229,-0.26728686690330505,-0.0005251773982308805,0.15271539986133575,-0.42893028259277344,-0.19200128316879272,-0.3131462633609772],“modality”:null,“evaluations”:null,“scores”:null,“chunks”:null,“matches”:null}]}
Tried also with docker-multimodalsearch, indexing a folder, but again, it seems the vector/embbeding fields doesnt exist.