id
name
processing priority
3
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2023-12-31 09:24:43
expired found date
-
created at
2024-06-18 02:58:46
updated at
2026-01-07 20:19:17
length
11
crc
55915
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
-
previous id
0
replaced with id
0
related id
-
dns primary id
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
192852
mp size raw text
5144
mp inner links count
4
mp inner links status
20 (imported)
title
Vector Database for Vector Search | Pinecone
description
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
site name
author
updated
2025-12-28 05:44:25
raw text
Vector Database for Vector Search | Pinecone Product Solutions Pricing Resources Company Log In Sign Up Free Long-Term Memory for AI Transform your business with high-performance AI applications. Pinecone's vector database is fully-managed, developer-friendly, and easily scalable. Get Started Contact Sales Start, scale, and sit back Create an account and your first index with a few clicks or API calls. Use the latest AI models and reference our extensive developer docs to start building AI powered applications in minutes. Create an index Query your data Scale your application # create an index with a single pod pinecone.create_index(index_name="chatbot", dimension=8) #create an instance of your index index = pinecone.Index(index_name="chatbot") # upsert your vector embeddings index.upsert([ ("A", [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]), ("B", [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]), ("C", [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]), ...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
Other [en] (231)
index version
2025123101
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
3829
text words
803
text unique words
302
text lines
114
text sentences
34
text paragraphs
12
text words per sentence
23
text matched phrases
0
text matched dictionaries
0
links self subdomains
0
links other subdomains
9 - cmp.osano.com, app.pinecone.io, docs.pinecone.io, support.pinecone.io, status.pinecone.io
links other domains
0
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
0
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
0
links ext klim
0
links ext generic
0
dol status
0
dol updated
2025-12-28 05:44:25
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
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0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
34 (reserved: import paused pending content quality/relevance assessment after importing first 500 pages)
sitemap review version
2
sitemap urls count
242
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
2023-12-31 09:24:43
sitemap process date
2024-11-24 09:54:45
sitemap first import date
-
sitemap last import date
2025-04-18 16:30:38