mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 19:00:59 +03:00
fix namings, update description, show badge and node info
This commit is contained in:
@@ -511,7 +511,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -166,7 +166,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -301,7 +301,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -553,7 +553,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -555,7 +555,7 @@
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"type": "Faiss",
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"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Faiss Vector Store",
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"description": "Upsert embedded data and perform similarity search upon query using Faiss library from Meta",
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"inputParams": [
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{
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"label": "Base Path to load",
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@@ -351,7 +351,7 @@
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"type": "Qdrant",
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"baseClasses": ["Qdrant", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Qdrant Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Qdrant, a scalable open source vector database written in Rust",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -634,7 +634,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -560,7 +560,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -678,7 +678,7 @@
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"type": "Chroma",
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"baseClasses": ["Chroma", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Chroma Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Chroma, an open-source embedding database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -796,7 +796,7 @@
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"type": "Supabase",
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"baseClasses": ["Supabase", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Supabase using pgvector",
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"description": "Upsert embedded data and perform similarity search upon query using Supabase via pgvector extension",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -634,7 +634,7 @@
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"type": "Redis",
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"baseClasses": ["Redis", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Redis",
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"description": "Upsert embedded data and perform similarity search upon query using Redis, an open source, in-memory data structure store",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -776,7 +776,7 @@
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"type": "Faiss",
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"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Faiss Vector Store",
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"description": "Upsert embedded data and perform similarity search upon query using Faiss library from Meta",
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"inputParams": [
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{
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"label": "Base Path to load",
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@@ -792,7 +792,7 @@
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"type": "SingleStore",
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"baseClasses": ["SingleStore", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to SingleStore Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using SingleStore, a fast and distributed cloud relational database",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -305,7 +305,7 @@
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"type": "Vectara",
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"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Vectara Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Vectara, a LLM-powered search-as-a-service",
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"inputParams": [
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{
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"label": "Connect Credential",
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@@ -654,7 +654,7 @@
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert or Load data to Pinecone Vector Database",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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"inputParams": [
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{
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"label": "Connect Credential",
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