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feat: Qdrant Vector Search Support (#684)

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* feat: Qdrant vector search support

Signed-off-by: Anush008 <anushshetty90@gmail.com>

* chore: Review updates

Signed-off-by: Anush008 <anushshetty90@gmail.com>

---------

Signed-off-by: Anush008 <anushshetty90@gmail.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
Anush
2025-11-11 17:05:00 +05:30
committed by GitHub
parent 70dbd21bdf
commit aa027faf95
13 changed files with 1010 additions and 30 deletions
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11
.env.example
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@@ -78,6 +78,17 @@ TAVILY_API_KEY=tvly-xxx
# MILVUS_EMBEDDING_API_KEY=
# MILVUS_AUTO_LOAD_EXAMPLES=true
# RAG_PROVIDER: qdrant (using qdrant cloud or self-hosted: https://qdrant.tech/documentation/quick-start/)
# RAG_PROVIDER=qdrant
# QDRANT_LOCATION=https://xyz-example.eu-central.aws.cloud.qdrant.io:6333
# QDRANT_API_KEY=<your_qdrant_api_key> # Optional, only for cloud/authenticated instances
# QDRANT_COLLECTION=documents
# QDRANT_EMBEDDING_PROVIDER=openai # support openai,dashscope
# QDRANT_EMBEDDING_BASE_URL=
# QDRANT_EMBEDDING_MODEL=text-embedding-ada-002
# QDRANT_EMBEDDING_API_KEY=
# QDRANT_AUTO_LOAD_EXAMPLES=true
# Optional, volcengine TTS for generating podcast
VOLCENGINE_TTS_APPID=xxx
VOLCENGINE_TTS_ACCESS_TOKEN=xxx