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[Adolf] Swap cognee embedding to bge-m3 (1024-d, multilingual)

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Replace nomic-embed-text (768-d) with bge-m3 (1024-d, GPU-served via the
same :11436 ollama) as cognee's embedding model, for better multilingual
recall. cognee's Qdrant collections held only P4 smoke-test fixtures (no
real conversation data — adolf-llm's cogneeSearch/cogneeAdd are still
stubs), so the stale 768-d collections were dropped and left for cognee
to recreate at 1024-d on next write, rather than migrated.

Verified: bge-m3 returns 1024-dim vectors via ollama /api/embed; after
recreating the cognee container, a remember/recall round trip (including
Russian text) produced correctly dimensioned (1024-d) Qdrant collections
and recalled the exact fact stored, then the test dataset was deleted.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
This commit is contained in:
alvis
2026-07-06 05:56:58 +00:00
parent cf4d57ea16
commit 4dfc870dd1
1 changed files with 14 additions and 6 deletions
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openai/cognee/cognee.env
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@@ -70,15 +70,23 @@ LLM_INSTRUCTOR_MODE=json_mode
# own default is "http://localhost:11434/api/embed"), unlike the
# openai_compatible engine which appends its own path onto a base URL. Ollama's
# native /api/embed (batch endpoint, not the singular /api/embeddings) returns
# {"embeddings": [[...]]}; the engine handles that key. Tested directly against
# :11436 with model nomic-embed-text -> 768-dim vector, confirmed working
# before wiring this in.
# {"embeddings": [[...]]}; the engine handles that key.
#
# Swapped nomic-embed-text (768-d) -> bge-m3 (1024-d, multilingual, GPU-served)
# 2026-07-06 [Adolf kb#60]. bge-m3 pulled into the same :11436 ollama; tested
# directly against :11436 -> 1024-dim vector, confirmed working. cognee's
# Qdrant collections were all still 768-d (a handful of P4 smoke-test points
# only — "pineapple-7742"/"p4 deployment smoke test" fixtures, no real
# conversation data; adolf-llm's cogneeSearch/cogneeAdd are still stubs and
# have never actually written to cognee), so the stale 768-d collections were
# dropped rather than migrated — cognee recreates them at the new dimension
# on first write.
###############################################################################
EMBEDDING_PROVIDER=ollama
EMBEDDING_MODEL=nomic-embed-text
EMBEDDING_MODEL=bge-m3
EMBEDDING_ENDPOINT=http://host.docker.internal:11436/api/embed
EMBEDDING_DIMENSIONS=768
HUGGINGFACE_TOKENIZER=nomic-ai/nomic-embed-text-v1.5
EMBEDDING_DIMENSIONS=1024
HUGGINGFACE_TOKENIZER=BAAI/bge-m3
###############################################################################
# Graph store — SPIKE-FINDINGS gate 4: Kuzu embedded, not Neo4j.