/* Global styles */

#topbar-cta-button {
  margin-left: 1rem;
}

#topbar-cta-button a {
  display: flex;
  align-items: center;
  padding: 0.375rem 1rem !important;
  gap: 0.5rem;
  background-color: #1C17FF;
  color: #fff !important;
  border-radius: 0.25rem;
  font-weight: 500;
  letter-spacing: 0.4px;
}

#topbar-cta-button a:hover {
  background-color: #030080 !important;
}


/* #topbar-cta-button span {
  border-radius: 4px;
  font-weight: 500;
  letter-spacing: 0.4px;
} */

/* #topbar-cta-button div > svg {
  display: none;
} */

/* inserting svg via :after isn't working for some reason, used js instead */
/* #topbar-cta-button div::after {
  content: url('data:image/svg+xml;utf8,<svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="Icon Right"><path id="Vector" d="M8.08906 5L6.91406 6.175L10.7307 10L6.91406 13.825L8.08906 15L13.0891 10L8.08906 5Z" fill="white"/></g></svg>');
  content: "test";
  display: block;
  width: 20px;
  height: 20px;
  margin-left: 8px;
  background-image: url('data:image/svg+xml;utf8,<svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="Icon Right"><path id="Vector" d="M8.08906 5L6.91406 6.175L10.7307 10L6.91406 13.825L8.08906 15L13.0891 10L8.08906 5Z" fill="white"/></g></svg>');
  background-color: #000000;
  background-size: contain;
  background-repeat: no-repeat;
  background-position: center;
} */


.documentation-link {
  color: #1c17ff;
  text-decoration: none;
}

.documentation-link:hover {
  color: #000000;
  /* Black color when hovering */
}

.custom-button {
  display: inline-block;
  padding: 2px 8px;
  background-color: #f1f1f1;
  color: #333;
  /* Text color */
  border: 1px solid #aaa;
  /* Border color */
  border-radius: 25px;
  /* Rounded borders */
  text-align: center;
  user-select: none;
  transition: background-color 0.3s ease;
  /* Smooth transition for background color */
}

/* Change the button color on hover (make it unclickable) */
.custom-button:hover {
  background-color: #1c17ff;
  color: #f1f1f1;
}

/* Adjust the width for the second column */
/* td:nth-child(2) {
  width: 200px; /* Adjust the width as per your requirement
} */

/* 
Add an announcement bar 
TODO: This can be version specific if you add a page-specific class/ID, but it doesn't seem to work for the OpenAI docs without rewriting the JSON
*/
/*  #navbar:before {
  background-color: #ff4c04;
  content: "The legacy version of the API, which required regional URLs for control plane operations, is deprecated as of April 15, 2024 and will be removed in a future, to be announced, release.";
  color: rgb(255, 255, 255);
  display: block;
  text-align: center;
  padding: 6px;
  font-size: 90%;
}
*/
/* Text color */
/* body {
  color: #121142 !important;
} */

/* Header */
#navbar {
  background: white;
  position: fixed;
  /* position: sticky !important; */
  /* top: 0 !important; */
}

#navbar-transition {
  border-bottom: 1px solid #e2e5e7;
}

#navbar .max-w-8xl {
  max-width: 100%;
}

/* Logo + "Docs" text + version select */
#navbar>div:first-of-type>div:first-of-type>div:first-of-type>div:first-of-type {
  flex: initial;
}

#navbar>div:first-of-type>div:first-of-type>div:first-of-type>div:first-of-type>a:first-of-type {
  flex: initial;
  display: flex;
}

#navbar img[alt="logo"] {
  max-width: 150px;
}

/* Version select */
[aria-haspopup="menu"] {
  border-radius: 0.25rem;
  border: 1px solid rgba(115, 143, 171, 0.50);
  background-color: transparent !important;
  color: #121142;
}

[aria-labelledby="headlessui-menu-button-:r0:"] {
  width: 11rem;
}

/* Right side nav container */
#navbar>div:first-of-type>div:first-of-type>div:first-of-type>div:nth-of-type(3) {
  flex: initial;
  margin-left: 0;
}

/* Prevent nav items from shrinking */
#navbar>div:first-of-type>div:first-of-type>div:first-of-type>div:nth-of-type(3)>nav {
  flex-shrink: 0;
}

/* nav links */
#navbar nav a {
  color: #121142;
  padding: 0.6rem 1rem;
  transition: background-color 250ms cubic-bezier(0.4, 0, 0.2, 1);
}

#navbar nav a:hover {
  background-color: rgba(27, 23, 245, 0.04);
  border-radius: 0.25rem;
}

#navbar nav ul li:not(:last-of-type) {
  margin-left: 0;
}

/* Hide dark mode toggle */
#navbar>div:first-of-type>div:first-of-type>div:first-of-type>div:nth-of-type(3)>div {
  display: none;
}

/* Second nav container */
/* Links */
#navbar a {
  color: #121142;
  margin: 0;
  padding-left: 0.875rem;
  padding-right: 0.875rem;
}

/* Selected links */
#navbar a.font-semibold {
  color: #1B17F5;
  border-bottom-width: 0.1875rem;
  border-color: #1B17F5;
}

#navbar div.absolute.bottom-0 {
  display: none;
}

/* Sidebar */
#sidebar {
  left: 0rem;
  padding-left: 3rem;
  background: white;
  border-right: 1px solid #e2e5e7;
  /* position: sticky; */
  /* flex-shrink: 0; */
  /* top: 0; */
}

#sidebar-content {
  padding-left: 2rem;
}

/* Sidebar headings and link color */
#sidebar-content h5,
#sidebar a {
  color: #121142;
}

/* Sidebar Introduction link */
#sidebar>div>ul>div:first-of-type>li:only-of-type {
  margin-left: 0;
}

#sidebar>div>ul>div:first-of-type>li:only-of-type>a {
  font-weight: 600;
}

/* Nav items */
#navigation-items>div>ul>li {
  margin-left: 0.75rem;
}

/* Selected nav items */
#navigation-items>div>ul>li a.font-semibold {
  color: #1B17F5;
  font-weight: 400;
  background-color: #3C72FF0A;
}

/* Main content area */
/* main > div:first-of-type > div:last-of-type > div:first-of-type {
  display: flex;
} */
@media screen and (min-width: 1024px) {
  #content-area>div:first-child:not(#header)>div.relative.w-full.flex.items-center.justify-center:first-child {
    margin-top: 7rem
  }
}


/* Content container */
/* #content-container {
  padding-left: 3.5rem !important;
} */
#content-container>div {
  padding-top: 10rem;
}

@media (min-width: 1024px) {
  #content-container>div {
    gap: 3rem;
  }

  #content-container #table-of-contents {
    padding-left: 0;
  }
}

/* Title eyebrow */
#header .eyebrow {
  text-transform: uppercase;
  color: #121142;
  font-size: 0.625rem;
  letter-spacing: 1px;
  line-height: 160%;
}

/* Hide empty eyebrow */
#header .eyebrow:empty {
  display: none;
}

/* Title container */
#header>div:first-of-type>div:nth-of-type(2) {
  margin-top: 0;
}

/* Title */
#header h1 {
  color: #121142;
}

/* Article text */
.prose h2,
.prose h3,
.prose h4,
.prose p {
  color: #121142;
}

.prose a {
  color: #1B17F5;
  font-weight: 400;
}

/* Overwrite tailwind max-width */
.max-w-8xl {
  max-width: 94.5rem;
}

.card {
  box-shadow: none;
  border: 1px solid #D8DDDF;
  border-radius: 0.25rem;
  transition: box-shadow 0.3s ease;
}

.card:hover {
  box-shadow: 0px 5px 5px -3px rgba(163, 169, 175, 0.20), 0px 8px 10px 1px rgba(163, 169, 175, 0.14), 0px 3px 14px 2px rgba(163, 169, 175, 0.12);
  border: 1px solid #D8DDDF !important;
}

.card>div {
  padding: 1.5rem;
}

.card h2,
.example-card h2 {
  font-size: 1.25rem;
}

.card p,
.example-card p {
  margin-top: 0.625rem;
  font-size: 0.875rem;
  color: #121142;
}

.card .eyebrow {
  font-size: 0.625rem;
  text-transform: uppercase;
  line-height: 160%;
  letter-spacing: 1px;
}

.card .integration-logo {
  width: 3.125rem;
  height: 3.125rem;
  display: flex;
  justify-content: center;
  align-items: center;
}

.card-grid {
  display: grid;
  gap: 1.5rem;
}

@media (min-width: 640px) {
  .card-grid {
    grid-template-columns: 1fr 1fr;
  }
}

@media (min-width: 1024px) {
  .card-grid {
    grid-template-columns: 1fr 1fr 1fr;
  }
}

.example-card {
  box-shadow: none;
  border: 1px solid #D8DDDF;
  border-radius: 0.25rem;
  transition: box-shadow 0.3s ease;
  padding: 1.5rem;
  display: flex;
  flex-direction: column;
  flex-grow: 1;
  background-color: #fff;
}

.example-card .arrow {
  margin-left: auto;
  margin-top: auto;
  opacity: 0;
  transition: opacity 0.3s ease;
}

.example-card:hover .arrow {
  opacity: 1;
}

.example-card:hover {
  box-shadow: 0px 5px 5px -3px rgba(163, 169, 175, 0.20), 0px 8px 10px 1px rgba(163, 169, 175, 0.14), 0px 3px 14px 2px rgba(163, 169, 175, 0.12);
  border: 1px solid #D8DDDF !important;
}

.example-card .tags {
  display: flex;
  flex-wrap: wrap;
  gap: 0.75rem;
  margin-top: 1.5rem;
}

.example-card .card-tag {
  border-radius: 1rem;
  background-color: rgba(115, 143, 171, 0.08);
  color: #121142;
  font-size: 0.8125rem;
  line-height: 138%;
  letter-spacing: 0.16px;
  padding: 0.1875rem 0.375rem;
  display: flex;
  gap: 0.375rem;
  align-items: center;
}

.example-card .vectors {
  color: #72788D;
  display: flex;
  flex-wrap: wrap;
  justify-content: space-between;
  gap: 1rem;
  font-size: 0.875rem;
  line-height: 150%;
  letter-spacing: 0.15px;
  padding-top: 2.875rem;
  margin-top: auto;
}

.examples-h2 {
  font-size: 1.25rem;
  margin-bottom: 1.5rem;
}

/* Integrations */
#integrations-banner {
  position: relative;
  margin-top: 7rem;
  height: 12.75rem;
  display: flex;
  flex-direction: column;
  justify-content: center;
  align-items: center;
  overflow: hidden;
  /* background: url('https://mintlify.s3-us-west-1.amazonaws.com/pinecone-2/images/background.png') no-repeat center center; */
  background-size: 90%;
  background-color: rgb(251, 251, 252);
  text-align: center;
  border-bottom: 1px solid #e2e5e7;
}

#integrations-banner h1 {
  color: #000000;
  font-size: 3rem;
}

#integrations-banner p {
  color: #000000;
  font-size: 1.25rem;
  opacity: 0.7;
  margin-top: 0.5rem;
}

/* Integrations related articles */
#related-articles {
  display: flex;
  flex-direction: column;
  width: 100%;
}

#related-articles h2 {
  color: #121142;
  font-size: 1.25rem;
  font-weight: 600;
  letter-spacing: 0.15px;
  line-height: 150%;
  margin-bottom: 1rem;
}

#related-articles a {
  padding: 1.0625rem 0;
  display: flex;
  align-items: flex-start;
  justify-content: space-between;
  gap: 1rem;
  color: #121142;
  font-size: 0.875rem;
  line-height: 150%;
  letter-spacing: 0.15px;
}

#related-articles a:not(:last-of-type) {
  border-bottom: 1px solid #D8DDDF;
}

#related-articles a:hover {
  opacity: 0.7;
}

#related-articles a>svg {
  flex-shrink: 0;
}

/* Integrations back button */
#back-button {
  display: flex;
  gap: 0.5rem;
  align-items: center;
  color: #121142 !important;
  font-size: 0.875rem;
  line-height: 150%;
  letter-spacing: 0.15px;
  margin-bottom: 1.5rem;
}

#back-button:hover {
  opacity: 0.7;
}

#back-button>svg {
  flex-shrink: 0;
}

/* Sample apps */

.sample-app {
  color: #121142;
}

.sample-app h2 {
  font-size: 2.125rem;
  font-weight: 600;
  line-height: 123.5%;
  letter-spacing: 0.25px;
}

.sample-app h2:not(:first-of-type) {
  margin: 4rem 0 0 0;
}

.sample-app h2:first-of-type {
  margin: 0;
}

.sample-app h3 {
  font-size: 1.25rem;
  font-weight: 600;
  line-height: 150%;
  letter-spacing: 0.15px;
  margin: 3rem 0 0 0;
}

.sample-app h4 {
  font-size: 0.875rem;
  font-weight: 700;
  line-height: 150%;
  letter-spacing: 0.15px;
  margin: 3rem 0 0 0;
}

.sample-app p,
.sample-app ul {
  margin: 1.5rem 0 0 0;
  font-size: 0.875rem;
  list-style-type: disc;
}

.sample-app li::before {
  display: none;
}

.sample-app li {
  padding-left: 0 !important;
  margin-left: 1.25rem;
}

.sample-app li::marker {
  color: #121142;
}

.sample-app-heading {
  display: flex;
  flex-direction: column;
  align-items: center;
  text-align: center;
}

.sample-app-heading .eyebrow {
  color: #121142;
  font-size: 0.625rem;
  line-height: 160%;
  letter-spacing: 1px;
  text-transform: uppercase;
}

.sample-app-heading h1 {
  color: #121142;
  margin: 0.5rem 0 0 0;
  font-size: 2.125rem;
  font-weight: 600;
  line-height: 123.5%;
  letter-spacing: 0.25px;
}

.sample-app-heading p {
  color: #121142;
  margin: 0.5rem 0 1.5rem 0;
  font-size: 1.25rem;
  font-weight: 600;
  line-height: 150%;
  letter-spacing: 0.15px;
}

/* Sample apps content area with sidebar */
.sample-app-split {
  display: flex;
  flex-direction: column;
  gap: 3rem;
}

.sample-app-split .sidebar a:not(.connect-with-pinecone) {
  font-size: 0.875rem;
  color: #121142;
  border-bottom: none;
}

.sample-app-split .toc-list {
  display: flex;
  flex-direction: column;
  gap: 1rem;
}

.sample-app-split .toc-list a.bold {
  font-weight: 700;
  margin-top: 0.5rem;
}

.sample-app-split>.content.no-margin>p:first-of-type {
  margin-top: 0 !important;
}

.connect-with-pinecone {
  border: 1px solid rgba(115, 143, 171, 0.50);
  border-radius: 0.25rem;
  padding: 0.5rem 1rem;
  display: inline-flex;
  align-items: center;
  gap: 0.5rem;
  font-size: 0.875rem;
  font-weight: 500;
  line-height: 1.5rem;
  letter-spacing: 0.4px;
  color: #121142 !important;
  text-decoration: none;
  align-self: flex-start;
}

@media (min-width: 1280px) {
  .sample-app-split {
    flex-direction: row;
  }

  .sample-app-split .content {
    overflow-x: auto;
  }

  .sample-app-split .sidebar {
    width: 20.625rem;
    flex-shrink: 0;
  }
}

/* Hacky codeblock targeting */
div[class*="bg-codeblock"].relative {
  background: #121142;
  border-radius: 0.25rem;
}

p>code {
  font-size: 0.75rem;
  line-height: 150%;
  letter-spacing: 0.5px;
  border-radius: 0.25rem;
  padding: 0.125rem 0.5rem;
  background-color: rgba(115, 143, 171, 0.08);
  color: #030080;
  border: none;
}

code .api-key.set {
  color: orange;
}

.pinecone-connect-connected {
  width: 100%;
  max-width: 31.25rem;
  background-color: rgb(255, 255, 255);
  transition: box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;
  border-radius: 0.25rem;
  padding: 1.5rem;
  margin: 1.5rem 0;
  border: 1px solid rgb(224, 224, 224);
}

.pinecone-connect-connected img {
  height: 1.875rem;
  margin: 0;
}

.pinecone-connect-connected p {
  color: rgba(0, 0, 0, 0.87) !important;
}

.pinecone-connect-connected p:last-of-type {
  margin-top: 0.75rem;
}

.remove-api-key {
  display: flex;
  width: 100%;
  max-width: 31.25rem;
  margin-top: -1.25rem;
}

.remove-api-key>button {
  font-size: 0.8125rem;
  font-weight: 500;
  color: #1d4ed8;
  margin-left: auto;
}


/* Model Gallery */

.featured-card-container {
  position: relative;
  width: 100%;
  overflow: visible;
  overflow-x: auto;
  overflow-y: visible;
  margin-right: 0;
  /* Added to remove extra right margin */
}

.featured-model-cards {
  display: flex;
  transition: transform 1s ease-in-out;
  width: 100%;
  gap: 1rem;
  justify-content: space-between;
  overflow: visible;
  overflow-y: visible;
  margin-right: 0;
  /* Added to remove extra right margin */
}

@media (max-width: 768px) {
  .featured-model-cards {
    flex-direction: column;
  }
}

.outlined-button {
  display: flex;
  flex-direction: column;
  justify-content: center;
  align-items: center;
  width: 150px;
  height: 36px;
  padding: 4px;
  border-radius: 4px;
  border: 1px solid var(--Light-Secondary-Shades-50p, rgba(115, 143, 171, 0.5));
  color: #FFFFFF;
  text-decoration: none;
  font-size: 14px;
  letter-spacing: 0.4;
  text-align: center;
  color: #121142;
  font-weight: 500;
  transition: background-color 0.3s ease, border 0.3s ease, color 0.3s ease;
}

.outlined-button:hover {
  background-color: #3C72FF0A;
  border: 1px solid #1B17F5;
  color: #FFFFFF;
}


.control {
  position: absolute;
  top: 50%;
  transform: translateY(-50%);
  background-color: rgba(255, 255, 255, 0.7);
  border-radius: 50%;
  width: 40px;
  height: 40px;
  display: flex;
  align-items: center;
  justify-content: center;
  cursor: pointer;
  opacity: 0.5;
  transition: opacity 0.3s ease;
}

.control:hover {
  opacity: 1;
}

.prev-slide {
  left: 10px;
}

.next-slide {
  right: 10px;
}

.inference-text p {
  margin-top: 0rem;
}


/* Model page */
.model-page-card {
  padding: 1.5rem;
  border-radius: 0.25rem;
  border: 1px solid #D8DDDF;
  background: #FFF;
  margin-bottom: 2.5rem;
}

.model-page-card-title {
  display: flex;
  flex-wrap: wrap;
  gap: 1rem;
  align-items: center;
}

.model-page-card-title>h1 {
  font-size: 1.5rem;
  color: #121142;
}

.model-page-card-logo {
  width: 2.125rem;
  height: 2.125rem;
  flex-shrink: 0;
}

.model-page-card-logo>img {
  width: 100%;
  height: 100%;
  object-fit: contain;
}

.model-page-card-inference {
  border-radius: 1rem;
  border: 1px solid #D8DDDF;
  padding: 0.25rem 0.375rem 0.25rem 0.25rem;
  display: flex;
  align-items: center;
  gap: 0.375rem;
  font-size: 0.8125rem;
}

.model-page-card-stats {
  display: flex;
  gap: 1.5rem;
  flex-wrap: wrap;
  margin-top: 1rem;
}

.model-page-card-stats>div>span {
  font-size: 0.625rem;
  color: #72788D;
  letter-spacing: 0.2px;
  font-weight: 500;
}

.model-page-card-stats>div>p {
  font-size: 0.75rem;
  color: #121142;
  letter-spacing: 0.17px;
}

.model-page-card-stats>div.price {
  margin-left: auto;
}

.model-page-card-stats>div.price>p {
  margin-left: auto;
  font-weight: 600;
}

.model-page-tabs {
  display: flex;
  width: 100%;
  border-bottom: 1px solid #D8DDDF;
  margin-bottom: 2rem;
}

.model-page-tabs>button {
  padding: 0.5625rem 1rem;
  border-bottom: 1px solid transparent;
  color: #72788D;
  display: flex;
  align-items: center;
  gap: 0.375rem;
  font-weight: 500;
  letter-spacing: 0.4px;
}

.model-page-tabs>button>svg>path {
  fill: #72788D;
}

.model-page-tabs>button.active {
  border-bottom: 2px solid #1B17F5;
  color: #1B17F5;
}

.model-page-tabs>button.active>svg>path {
  fill: #1B17F5;
}

.model-page-playground {
  display: none;
}

.model-page-guides {
  display: flex;
  flex-direction: column;
  gap: 3rem;
}

.model-page-content {
  flex-shrink: 1;
  width: auto;
}

.model-page-content> :first-child {
  margin-top: 0;
}

.model-page-content pre {
  white-space: pre-wrap;
}

.model-page-sidebar {
  width: 100%;
}

.model-page-sidebar .iframe-placeholder {
  height: 800px;
}

/* removing inline padding for now */
@media (min-width: 1280px) {
  .model-search-container {
    padding-inline: 0px;
  }
}

.model-page-sidebar-readmore {
  font-size: 0.875rem;
  font-style: normal;
  font-weight: 500;
  line-height: 150%;
  letter-spacing: 0.15px
}

.model-page-sidebar-readmore svg {
  margin-bottom: 2px;
}

.model-search-container {
  height: 1045px;

  @media (max-width: 768px) {
    height: 1200px;
  }
}

@media (min-width: 1080px) {
  .model-page-guides {
    flex-direction: row;
  }

  .model-page-sidebar {
    max-width: 20.6875rem;
    flex-shrink: 0;
  }

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Quickstart

Key features

Build a RAG chatbot

Multitenancy

Implement multitenancy using namespaces

Semantic search

Image search

Multimodal search

Recommender

Threat detection

More examples

Glossary

Understanding organizations

Change your billing plan

Set up billing through AWS Marketplace

Set up billing through Azure Marketplace

Set up billing through GCP Marketplace

Understanding subscription status

Understanding cost

Monitor your usage

Manage cost

Manage organization members

Understanding projects

Create a project

Manage project members

Rename a project

Set a project pod limit

Understanding indexes

Create an index

Migrate a pod-based index to serverless

View index information

Understanding backups and collections

Back up an index

Restore an index

Delete an index

Prevent index deletion

Use namespaces

Configure an index

Choose a pod type and size

Scale pod-based indexes

Understanding imports

Import data

Upsert data

Query data

Fetch data

Update data

Delete data

List record IDs

Get an index endpoint

Filter with metadata

Manage RAG documents

Understanding data freshness

Check data freshness

Understanding hybrid search

Encode sparse vectors

Upsert sparse-dense vectors

Query sparse-dense vectors

Use sample datasets

Use public Pinecone datasets

Create and load private datasets

Understanding Pinecone Inference API

Generate embeddings

Rerank documents

Understanding Pinecone Assistant

Create an assistant

List assistants

Check assistant status

Update an assistant

Upload a file to an assistant

List the files in an assistant

Check assistant file status

Delete an uploaded file

Chat with an assistant

Delete an assistant

Understanding Evaluation API

Evaluate answers

Move to production

Performance tuning

Understanding security

Configure SSO with Okta

Connect to AWS PrivateLink

Manage storage integrations

Integrate with Amazon S3

Monitoring

Introduction

Authentication

Errors

Versioning

API versioning

Generate embeddings for input data.

For guidance and examples, see [Generate embeddings](https://docs.pinecone.io/guides/inference/generate-embeddings).

Embed data

Rerank items according to their relevance to a query.

For guidance and examples, see [Rerank documents](https://docs.pinecone.io/guides/inference/rerank).

Rerank items

This operation returns a list of all files in an assistant, with an option to filter files with metadata.

List Files

This operation uploads a file to a specified assistant

Upload file to assistant

This operation provides a description of an uploaded file.

Describe a file upload

This operation deletes an uploaded file from an assistant.

The `chat_assistant` operation allows you to chat with a Pinecone Assistant and get back citations in structured form. This is the recommended way to chat with an assistant, as it offers more functionality and control over the assistant's responses and references than the `chat_completion_assistant` operation. 

For guidance and examples, see [Chat with an assistant](https://docs.pinecone.io/guides/assistant/chat-with-assistant).

The `chat_completion_assistant` operation is based on the OpenAI Chat Completion API, a commonly used and adopted API. It is useful if you need inline citations or OpenAI-compatible responses, but has limited functionality compared to the [`chat_assistant`](https://docs.pinecone.io/reference/api/2024-07/assistant/chat_assistant) operation. 

For guidance and examples, see [Chat with an assistant](https://docs.pinecone.io/guides/assistant/chat-with-assistant).

Search / chat with an assistant

Evaluates the correctness, completeness, and alignment of a generated answer with respect to a question and a ground truth answer. The correctness and completeness are evaluated based on the precision and recall of the generated answer with respect to the ground truth answer facts. Alignment is the harmonic mean of correctness and completeness. 

For more information, see [Understanding Evaluation API](https://docs.pinecone.io/guides/assistant/understanding-evaluation).

Evaluate an answer

This operation returns a list of all assistants in a project.

This operation deploys a Pinecone Assistant. This is where you specify the underlying training model,  which cloud provider you would like to deploy with, and more.
  
For guidance and examples, see [Create an assistant](/guides/assistant/create-assistant).

Create assistant

This operation describes an assistant and its metadata.

Describe assistant

This operation deletes an existing assistant.

This operation returns a list of all files in an assistant.

List files

This operation uploads a file to a specified assistant.

Upload file

This operation provides a decsription of an uploaded file.

Describe file

This operation queries the completions endpoint of a Pinecone Assistant.      For guidance and examples, see the [chat with assistant guide](/guides/assistant/chat-with-assistant).

Python SDK

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Pinecone datasets

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Reference architectures

Pinecone integrations enable you to build and deploy AI applications faster and more efficiently. Integrate Pinecone with your favorite frameworks, data sources, and infrastructure providers.

Model Gallery

Airbyte

Apify

Aryn

Confluent

Using Databricks and Pinecone to create and index vector embeddings at scale

Databricks

Datavolo

Elasticsearch

Estuary

Fleak

FlowiseAI

Gathr

Matillion

Nexla

Redpanda

Snowflake

StreamNative

Unstructured

Pinecone as a Knowledge Base for Amazon Bedrock

Amazon Bedrock

Amazon SageMaker

Context Data

Using Haystack and Pinecone to keep your NLP-driven apps up-to-date

Haystack

Instill AI

Using LangChain and Pinecone to add knowledge to LLMs

LangChain

Using LlamaIndex and Pinecone to build semantic search and RAG applications

LlamaIndex

Nuclia

OctoAI

Amazon Web Services (AWS)

Azure

Google Cloud Platform (GCP)

GitHub Copilot

Pulumi

Using Terraform to manage Pinecone resources

Terraform

Vercel

Anyscale

Using Cohere and Pinecone to generate and index high-quality vector embeddings

Cohere

Using Voyage AI and Pinecone to generate and index high-quality vector embeddings

Voyage AI

Using Hugging Face Inference Endpoints and Pinecone to generate and index high-quality vector embeddings

Hugging Face Inference Endpoints

Jina AI

Using OpenAI and Pinecone to combine deep learning capabilities for embedding generation with efficient vector storage and retrieval

OpenAI

Twelve Labs

Datadog