Every source GILD analyzed, newest first. Each says who the source is, how it knows, whether it still applies and which findings it counts toward. Open a count to see only its sources.
Source
58 sources in Teams and technical leaders, with product documentation Showing all 64 sources
Negative
GitHub issue by chr-hertelGitHub issue
composer audit flags every installation of symfony/ai-pinecone-store because the PHP client it uses, probots-io/pinecone-php, pulls in Saloon versions with three advisories, even where the affected features are not used.
Negative
GitHub issue by kdang-at-safeGitHub issue
In v10, fetch, paginated listing and namespace listing by prefix find nothing when an ID or namespace contains a space, and raise no error.
Negative
GitHub issue by oleh-zaporozhetsGitHub issue
Pinecone removed a corrupted file from an Assistant on its own, and when his application then deleted the file, the TypeScript SDK threw an unexpected SyntaxError.
Negative
GitHub pull request by Pathumi-KaveeshaGitHub pull request
Smart Search stored WSO2 content in Pinecone, an external third-party vector database, which raised a data-handling concern because WSO2 material was leaving WSO2's own infrastructure.
Counts toward
Negative
Practitioner blog post by Nguyen Chi CongPractitioner blog post
His team ripped Pinecone out of production for pgvector: p99 latency on the retrieval call dropped by about a third once a network hop was gone, and on-call pages for Pinecone rate limits and timeouts stopped.
Negative
GitHub issue by philipredfordGitHub issue
Integrated sparse indexes managed by the Terraform provider never reach a converged state, and any in-place update to them, such as a tags change, fails with a 400 from the API, in provider v3.0.0 and v4.0.0.
Negative
GitHub issue by micah-pressGitHub issue
Considered writing a stand-alone HTTP client around a gap in the Java client, but did not want its maintenance cost.
Mixed
Practitioner blog post by Darryl RugglesPractitioner blog post
Across 200 measured queries on Pinecone's free Starter tier, one p99 outlier reached 672ms, which he puts down to the shared Starter infrastructure.
Not counted
AWS Serverless Hero (AWS community program); AWS sells the competing stores he benchmarks (S3 Vectors, OpenSearch Serverless, Aurora pgvector). Kept in the record; it takes part in no figure.
Positive
PeerSpot review by reviewer2846073PeerSpot review
Would improve Pinecone by reducing its cost, which is significantly higher than MongoDB or another regular database. The stored page states no incentive for this review.
Negative
GitHub issue by M1ha-Shvn: Dry-running a metadata update in the Python SDKGitHub issue
Calling a metadata update with dry_run set updated the index anyway, and the response gave no matched record count.
Negative
GitHub issue by M1ha-Shvn: Updating records by metadata filter in the Python SDKGitHub issue
Could not update vectors by metadata filter: the Python side ran, but the Pinecone API threw an exception that an ID is required. Pinecone replied on Apr 20, 2026 that the index ran on its legacy pod-based architecture, where update by metadata is not supported.
Negative
GitHub issue by matthewwalkGitHub issue
A CLI query on the default namespace returned no rows, while the same query over REST returned the expected neighbours, which he traces to how the CLI passes or defaults the namespace.
Mixed
PeerSpot review by reviewer2812962PeerSpot review
Finds Pinecone a bit expensive against free open-source FAISS and Milvus and against Weaviate at scale, and puts the team's cost at around US$100 to US$150 a month without exact figures. PeerSpot marks the review as incentivized: the reviewer was offered a gift card.
Negative
PeerSpot review by reviewer2811606PeerSpot review
The team did not use Pinecone mainly because its serverless region was only in the United States, and uses pgvector with Postgres instead. PeerSpot marks the review as incentivized: the reviewer was offered a gift card.
Counts toward
Positive
PeerSpot review by Harshwardhan GullapalliPeerSpot review
Managed infrastructure means no DevOps headaches, and costs were low at first, but as the index grew to 500,000 vectors the monthly bill grew noticeably. PeerSpot marks the review as incentivized: the reviewer was offered a gift card.
Mixed
PeerSpot review by Tushar PrasadPeerSpot review
There is no on-premises option, only cloud, which becomes a problem for highly regulated industries. PeerSpot marks the review as incentivized: the reviewer was offered a gift card.
Counts toward
Mixed
Project report on GitHub by jonathanMLDevProject report on GitHub
Pinecone billed US$801.97 over 46 days, and embedding inference was the primary cost driver at 65.7%.
Negative
Reddit comment by wing-of-freakReddit comment
After a significant Pinecone bill, the team found S3 Vector Buckets roughly 90% cheaper for its data, with higher latency as the main tradeoff.
Negative
GitHub issue by lzgitGitHub issue
Asked the .NET client to return the LongSequenceNumber in responses, so teams can follow Pinecone's own documented freshness-checking practice.
Counts toward
Mixed
PeerSpot review by SsawPeerSpot review
Pinecone is good as it is, but in his view it sits outside AWS, which causes some network lag for the team's AWS-hosted services. PeerSpot marks the review as incentivized: the reviewer was offered a gift card.
Counts toward
Negative
X post by SimonHoibergX post
Cut Pinecone as a third-party dependency: it used to be an essential building block in Aidbase's RAG system, storing tens of millions of knowledge points.
Positive
Reddit comment by adlxReddit comment
Runs a small production project on Pinecone with an Azure web app, a MySQL database and corporate Entra ID sign-in for 300€ a month of total infrastructure cost.
Negative
GitHub issue by sbhavaniGitHub issue
Switched to Qdrant, which supports ARM, after hitting the same x86-only Pinecone Local images.
Negative
GitHub issue by gbarbaGitHub issue
The team wants to create indexes for an OpenAI embedding model through the Terraform provider, which it can do only by hand.
Negative
GitHub issue by zygopleuralGitHub issue
Creating a fairly simple dense index with the Terraform provider returned a value conversion error and invalid result objects after apply.
Mixed
GitHub issue by zrosenbauerGitHub issue
The types in the TypeScript SDK are very limited, and he asks for fuller ones.
Mixed
GitHub issue by railapexGitHub issue
Every .NET example creates a new client per call, which repeats costly setup and DNS lookups. Reusing one client avoids that, and he asks for the examples to say so.
Negative
GitHub issue by charles-dyfis-netGitHub issue
Between pinecone-client 5.0.1 and 7.0.2 the type definitions narrowed index creation input to List[float], so previously legal values are no longer accepted.
Negative
GitHub issue by yashrao99GitHub issue
Upserts failed inside the newer Java SDK and worked after he dropped back to v3.1. The maintainer could not reproduce it.
Negative
GitHub issue by Amayas29GitHub issue
Needs a reliable way to check that recent writes are visible to queries: comparing vector counts fails when inserts and deletes offset each other, as when 5 are inserted and 5 deleted.
Counts toward
Negative
GitHub issue by 17jmumfordGitHub issue
An older pinecone-client package on PyPI looks official, so months later another developer tries the inference endpoint and finds that client does not have it. Pinecone's maintainer replied on Feb 21, 2025 that he added information to the README and pushed an update to the legacy package to make this clearer.
Negative
GitHub issue by qhenkartGitHub issue
The API documents how it handles errors, but the Go SDK does not format them.
Negative
GitHub issue by EandrewJonesGitHub issue
The new Pinecone Assistant context API does not work with docx files despite claiming to support them.
Negative
GitHub issue by danbfGitHub issue
The Pinecone Local images were built for x86_64 only, so the team's workaround is to run only on its Intel machines and through Rosetta on Mac laptops.
Positive
Reddit comment by Lazy-Kangaroo-573Reddit comment
Pinecone serverless does not bottleneck at all for 28k vectors, even with parallel queries, and the whole RAG pipeline runs at 2.5s P95 end to end on their Langfuse dashboard.
Negative
GitHub issue by deekshant-wGitHub issue
On SDK v9 there is no clean, documented way to target a Pinecone Local index over plain HTTP.
Negative
GitHub issue by benedelsteinGitHub issue
The docs claim you can upsert records with just text, but the TypeScript SDK did not support it.
Negative
Hacker News comment by alastairrHacker News comment
Has used Pinecone for ages, but it raised the cost floor for serverless, so they are thinking of moving their roughly 1M vectors to pgvector, where the larger metadata already lives.
Negative
Reddit post by realam1Reddit post
Used only a few dollars of Pinecone credits in a year, then received an email that Pinecone was implementing a US$50 a month minimum spend on their account.
Negative
Reddit post by fantastiskelarsReddit post
Pinecone cost them US$800 in total to process all the links at first, and monthly costs varied between US$20 and US$200 with traffic and crawler activity.
Pages from Pinecone, used to check facts for every group.
Pinecone Database serves full-text search, semantic search, sparse-vector search and hybrid search from one index. With integrated embedding, you upsert and query with text, and Pinecone generates the vectors from your text server-side. Pinecone narrows results with metadata filters and then reranks them for relevance. Pinecone keeps each tenant's data separate within one index by using namespaces. Dedicated read nodes scale reads for sustained, high query volumes. The pricing page lists Dedicated Read Nodes (DRN) from Standard. For production, Pinecone backs up indexes and deploys in your own cloud account with Bring Your Own Cloud (BYOC). The pricing page lists Backup and Restore from Standard, and BYOC requires an Enterprise plan.
Pinecone hosts several embedding models, and you can use a hosted model to embed data as an integrated part of upserting and querying, or as a standalone operation. With only a Pinecone API key, you can embed with llama-text-embed-v2, multilingual-e5-large and pinecone-sparse-english-v0 and rerank with cohere-rerank-4-fast and bge-reranker-v2-m3.
On a document index, an embed field takes a hosted dense model, default llama-text-embed-v2, and a sparse_embed field a hosted sparse model, default pinecone-sparse-english-v0. Integrated embedding requires API version 2026-07, is fixed at index creation, and BYOC indexes can't declare it.
You can bring your own vectors: generate them with the model company's API, or run an open-source model yourself, and upsert them to an index. Pinecone does no embedding in this path, and dense vectors can have up to 20,000 dimensions. The models table lists the processing location of llama-text-embed-v2, multilingual-e5-large, pinecone-sparse-english-v0 and bge-reranker-v2-m3 as us, and of cohere-rerank-4-fast as global.
Pinecone is available on the AWS, GCP and Microsoft cloud marketplaces, and an organization can set up pay-as-you-go billing through AWS Marketplace. Prepaid credits can't be bought through marketplace billing. Starter is free. Builder is US$20 a month flat. Standard has a US$50 monthly minimum and Enterprise a US$500 monthly minimum. On Standard, the US$50 monthly minimum applies to usage, and anything over US$50 is billed pay-as-you-go. On Enterprise, once usage exceeds the US$500 minimum, you pay as you go. On Standard and Enterprise, llama-text-embed-v2 costs US$0.16 per million tokens, multilingual-e5-large and pinecone-sparse-english-v0 US$0.08 per million tokens, and bge-reranker-v2-m3 and pinecone-rerank-v0 US$2 per 1,000 requests. Starter includes 5 million and Builder 10 million embedding tokens a month per model. On Standard and Enterprise, storage costs US$0.33 per GB a month, import from object storage US$0.25 per GB, backups US$0.10 per GB a month and restore from backup US$0.15 per GB. Indexes are limited to 5 on Starter and 10, 20 and 200 per project on Builder, Standard and Enterprise. Namespaces per index are 100, 1,000, 100,000 and 1,000,000. Exceeding an object limit returns 403 QUOTA_EXCEEDED, and most object limits can be raised on request.
The PineconeVectorStore class from LangChain works with Pinecone indexes, and an index must exist before you create a PineconeVectorStore object.
Pinecone Database integrates with LlamaIndex to build semantic search and RAG applications.
Through the Pinecone MCP server, AI agents can search Pinecone documentation, manage indexes, upsert data and query indexes.
Pinecone can be selected as the vector store for a Knowledge Base for Amazon Bedrock.
Starter serverless indexes must be in the AWS us-east-1 region. Builder, Standard and Enterprise can create indexes in any supported region, on AWS, Azure or GCP.
In BYOC, the console index browser can't read or write data, the Pinecone CLI can't run data plane operations, and imports from private buckets need the bucket in the same cloud account. A BYOC bill is a flat monthly platform fee for each environment plus a rate for each node, metered in node hours, and you pay your cloud provider directly for the underlying infrastructure. Current rates come from Pinecone on request. In BYOC, vectors, metadata, index contents and query and upsert payloads do not leave your cloud account. Only operational metrics and traces are sent to Pinecone, with customer data filtered out before transmission.
Pinecone serverless is usage-based: you pay for the data you store and the operations you run. On Standard, write units cost US$4 to US$4.50 per million and read units US$16 to US$18 per million, and on Enterprise US$6 to US$6.75 and US$24 to US$27 per million, varying by cloud and region. Standard and Enterprise include 100 GB of egress a month, and egress beyond the allowance is billed at the per-GB overage rate of US$0.10 per GB while reads keep serving. On Starter and Builder, in-scope reads are blocked with a 429 error once the allowance is reached. Customers can buy between US$8,000 and US$25,000 in prepaid credits, which apply at List Price, and usage beyond the available prepaid credits is billed at full List Price.
The Builder plan is a flat US$20 a month plan with higher quotas than Starter and no usage overages.
SSO is available on Standard and Enterprise plans, and the Okta setup can be adapted for any provider with SAML 2.0 support. You can choose to enforce SSO, so all members of your organization must use it to log in.
SCIM provisioning is available on the Enterprise plan and builds on SAML SSO. Changes made in Okta sync to Pinecone over SCIM in near real time, and SCIM group push isn't supported.
Audit logs record user, service account and API actions on the management and control plane and are written to an Amazon S3 bucket every 30 minutes. They are available only on Enterprise plans or with the HIPAA compliance add-on, and only an organization owner can enable them.
Pinecone captures audit log events within two hours of occurrence and retains them for 90 days, after which they are permanently deleted. After a deletion request, Pinecone marks the data for deletion and retains it for a maximum of 90 days, inaccessible to any user, and permanently deletes it before the end of that window.
Pinecone is SOC2 Type II certified. Pinecone is HIPAA compliant, with a BAA available upon request. Full HIPAA compliance is included with Enterprise, Standard offers it as a US$190 per month add-on with a 6-month minimum, and on either it requires configuring audit logs. Pinecone encrypts data at rest and in transit with AES-256. On the Enterprise plan, private endpoints reach indexes through AWS PrivateLink or Azure Private Link and carry data plane traffic only, and customer-managed encryption keys use AWS KMS.
Pinecone's Trust Center lists ISO 27001:2022 under Compliance and offers a Pinecone ISO 27001 2025 Certificate among its resources.
If an account is deactivated for non-payment, account data is retained for 30 days and then permanently deleted. After termination, on the customer's written request, an End User may access the Services for up to 30 days to retrieve Customer Data, and then, unless prohibited by Applicable Law, Pinecone deletes Customer Data in accordance with the Documentation.
Under the Master Subscription Agreement, the customer grants Pinecone the right to use and process Customer Data solely to provide Services and as otherwise expressly provided in the agreement. The security page says data is only used for servicing API calls.
Operation limits are fixed and don't vary by plan: an upsert batch holds 1,000 records with vectors, up to 2 MB in total, or 96 records with text, a query takes a top_k of at most 10,000 and returns at most 4MB, and fetch and delete requests take at most 1,000 record IDs.
On serverless indexes, Starter allows 1,000,000 read units and 2,000,000 write units a month per organization, and Builder 2,000,000 and 5,000,000. Standard and Enterprise are unlimited. Reaching a monthly usage limit returns a 429 error. Rate limits apply to serverless indexes only. On every plan, queries are limited to 100 requests per second per namespace and 2,000 read units per second per index, and upserts to 100 requests and 50 MB per second per namespace. Most rate limits can be adjusted on request, and indexes on Dedicated Read Nodes aren't subject to read unit limits for query, fetch, list and full-text search. llama-text-embed-v2 and multilingual-e5-large embed up to 250,000 passage tokens a minute on Starter and Builder and 1,000,000 on Standard and Enterprise. Inference requests are limited to 100 per second and 2,000 per minute per project on every plan.
Pinecone is eventually consistent, so there can be a slight delay before upserted records are available to query.
Source index
Every source GILD read, with the original address and the context used to count it. Open a finding to filter the full cards above. On smaller screens the index lists each source once by name, cohort and date; its full record above carries the address, context and findings.
| Source | Original URL | Author and context | Who | Published | Review date | Applies | Findings |
|---|---|---|---|---|---|---|---|
| GitHub issue by chr-hertelID pc-c102 | Developer Communities | github.com/ | Christopher Hertel (chr-hertel), Automattic (GitHub profile)self-described: Maintaining Symfony AI's Pinecone store package | Product or platform team | Published Oct 26, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by kdang-at-safeID pc-c022 | Developer Communities | github.com/ | kdang-at-safe, Safe Software (GitHub profile)self-described: Upgrading to Python SDK v10 | Product or platform team | Published Oct 21, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by oleh-zaporozhetsID pc-c026 | Developer Communities | github.com/ | Oleh Zaporozhets (oleh-zaporozhets), GitHub issue reporterself-described: An application syncing files with Pinecone Assistant | Product or platform team | Published Oct 16, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub pull request by Pathumi-KaveeshaID pc-c028 | Developer Communities | github.com/ | Pathumi Kaveesha (Pathumi-Kaveesha), GitHub contributorself-described: WSO2's internal Pitstop Smart Search | Product or platform team | Published Oct 7, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Practitioner blog post by Nguyen Chi CongID pc-c038 | Practitioner Blogs and Posts | chicong115.com/ | Nguyen Chi Cong, Engineering Manager at PhoenixDX (his own site)self-described: Retrieval for an internal agent product over about 40,000 chunks | Technical leadership | Published Sep 13, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by philipredfordID pc-c104 | Developer Communities | github.com/ | Philip Redford (philipredford), machine learning and AI engineering (GitHub profile)self-described: Managing Pinecone with Terraform | Product or platform team | Published Aug 27, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Reddit comment by Lazy-Kangaroo-573ID pc-c009 | Developer Communities | www.reddit.com/ | Lazy-Kangaroo-573, builder of a legal AI RAG (Reddit post history)self-described: A solo production legal RAG on near-zero infrastructure | Individual builder | Published Jul 5, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by deekshant-wID pc-c023 | Developer Communities | github.com/ | Deekshant Wadhwa (deekshant-w), GitHub issue reporterself-described: Testing against Pinecone Local | Individual builder | Published Jun 17, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by micah-pressID pc-c024 | Developer Communities | github.com/ | micah-press, GitHub issue reporterself-described: A Java service using the Pinecone client | Product or platform team | Published Jun 4, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Practitioner blog post by Darryl RugglesID pc-c039 | Practitioner Blogs and Posts | darryl-ruggles.cloud/ | Darryl Ruggles, AWS Serverless Hero and Principal Cloud Solutions Architect at Ciena (his own site)self-described: Benchmarking vector stores from an AWS-first view | Technical leadership | Published Jun 1, 2026 | Assessment reviewed Nov 1, 2026 | Current | Not counted. AWS Serverless Hero (AWS community program); AWS sells the competing stores he benchmarks (S3 Vectors, OpenSearch Serverless, Aurora pgvector). |
| PeerSpot review by reviewer2846073ID pc-c035 | Review Sites | www.peerspot.com/ | Product Manager, PeerSpot reviewerself-described: Product manager at a tech vendor, per PeerSpot's reviewer line | Small product team | Published May 30, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by M1ha-Shvn: Dry-running a metadata update in the Python SDKID pc-c021 | Developer Communities | github.com/ | M1ha Shvn (M1ha-Shvn), back-end architect at Dashly (GitHub profile)self-described: Dry-running a metadata update in the Python SDK | Product or platform team | Published May 18, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by M1ha-Shvn: Updating records by metadata filter in the Python SDKID pc-c020 | Developer Communities | github.com/ | M1ha Shvn (M1ha-Shvn), back-end architect at Dashly (GitHub profile)self-described: Updating records by metadata filter in the Python SDK | Product or platform team | Published Apr 10, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by matthewwalkID pc-c105 | Developer Communities | github.com/ | Matt Walker (matthewwalk), MLOps Engineer at Numerator (GitHub profile)self-described: Querying through the Pinecone CLI | Product or platform team | Published Apr 10, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| PeerSpot review by reviewer2812962ID pc-c031 | Review Sites | www.peerspot.com/ | Associate Director, PeerSpot reviewerself-described: Associate director at a pharma or biotech company with 10,001+ employees, per PeerSpot's reviewer line | Organization-wide | Published Mar 30, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| PeerSpot review by reviewer2811606ID pc-c030 | Review Sites | www.peerspot.com/ | Head of Engineering, PeerSpot reviewerself-described: Head of engineering, per PeerSpot's reviewer line, choosing a store with in-country data | Technical leadership | Published Mar 25, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| PeerSpot review by Harshwardhan GullapalliID pc-c036 | Review Sites | www.peerspot.com/ | Harshwardhan Gullapalli, PeerSpot reviewerself-described: AI engineer at an educational organization with 51 to 200 employees, per PeerSpot's reviewer line | Product or platform team | Published Mar 25, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| PeerSpot review by Tushar PrasadID pc-c032 | Review Sites | www.peerspot.com/ | Tushar Prasad, PeerSpot reviewerself-described: Technical product manager at HireRight, per PeerSpot's reviewer line | Product or platform team | Published Mar 24, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Project report on GitHub by jonathanMLDevID pc-c029 | Practitioner Blogs and Posts | raw.githubusercontent.com/ | Jonathan, CPPAlliance (report header)self-described: A RAG backend for the C++ Alliance | Product or platform team | Published Feb 21, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Reddit comment by wing-of-freakID pc-c010 | Developer Communities | www.reddit.com/ | wing-of-freak, first-time founder (own Reddit post)self-described: A startup weighing its Pinecone bill against S3 Vectors | Technical leadership | Published Jan 18, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by lzgitID pc-c025 | Developer Communities | github.com/ | Laszlo Zabb (lzgit), GitHub issue reporterself-described: Checking index freshness from .NET | Product or platform team | Published Dec 8, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| PeerSpot review by SsawID pc-c034 | Review Sites | www.peerspot.com/ | Ssaw, PeerSpot reviewerself-described: Senior engineer at an outsourcing company with 1,001 to 5,000 employees, per PeerSpot's reviewer line | Product or platform team | Published Dec 2, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| X post by SimonHoibergID pc-c040 | Developer Communities | x.com/ | Simon Høiberg, founder building bootstrapped SaaS products including Aidbase (X profile)self-described: Aidbase's RAG system | Technical leadership | Published Dec 1, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| Reddit comment by adlxID pc-c014 | Developer Communities | www.reddit.com/ | adlx, Reddit commenterself-described: A small production project with corporate Entra ID sign-in | Product or platform team | Published Nov 20, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by sbhavaniID pc-c018 | Developer Communities | github.com/ | Santosh Bhavani (sbhavani), NVIDIA (GitHub profile)self-described: Testing against Pinecone Local on ARM | Product or platform team | Published Nov 20, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by gbarbaID pc-c106 | Developer Communities | github.com/ | Guillem Barba (gbarba), Hubtype (GitHub profile)self-described: Creating indexes with Terraform | Product or platform team | Published Oct 7, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by benedelsteinID pc-c107 | Developer Communities | github.com/ | Ben Edelstein (benedelstein), designer and engineer (his own site)self-described: Upserting text through the TypeScript SDK | Individual builder | Published Sep 25, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by zygopleuralID pc-c108 | Developer Communities | github.com/ | Lee (zygopleural), Rideo (GitHub profile)self-described: Creating a dense index with Terraform | Product or platform team | Published Sep 10, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by alastairrID pc-c007 | Developer Communities | news.ycombinator.com/ | alastairr, Hacker News commenterself-described: A long-time Pinecone serverless user with about 1M vectors | Individual builder | Published Sep 8, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by zrosenbauerID pc-c109 | Developer Communities | github.com/ | Zac Rosenbauer (zrosenbauer), Joggr (GitHub profile)self-described: Typing a TypeScript application against the SDK | Product or platform team | Published Aug 5, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| Reddit post by realam1ID pc-c012 | Developer Communities | www.reddit.com/ | realam1, Reddit posterself-described: A lightweight hobby use of Pinecone | Individual builder | Published Jul 17, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by railapexID pc-c027 | Developer Communities | github.com/ | Chris Hynes (railapex), OwnerRez (GitHub profile)self-described: A .NET application calling Pinecone | Product or platform team | Published Jul 15, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by charles-dyfis-netID pc-c110 | Developer Communities | github.com/ | Charles Duffy (charles-dyfis-net), zerocmd (GitHub profile)self-described: Upgrading the Python SDK | Product or platform team | Published Jun 12, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| Reddit post by fantastiskelarsID pc-c011 | Developer Communities | www.reddit.com/ | fantastiskelars, Reddit posterself-described: Vector search on each page of a site with about 200,000 SEO pages | Individual builder | Published Apr 27, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by yashrao99ID pc-c115 | Developer Communities | github.com/ | Yashas Rao (yashrao99), Twin Health (GitHub profile)self-described: Upserting through the Java client | Product or platform team | Published Apr 10, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by Amayas29ID pc-c019 | Developer Communities | github.com/ | Amayas Sadi (Amayas29), Data Scientist at Credit Agricole DataLab (GitHub profile)self-described: Checking that upserts and deletes have landed | Product or platform team | Published Mar 26, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by 17jmumfordID pc-c111 | Developer Communities | github.com/ | Jeremy Mumford (17jmumford), Pattern (GitHub profile)self-described: A team using Pinecone's inference endpoint | Product or platform team | Published Feb 19, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by qhenkartID pc-c114 | Developer Communities | github.com/ | Quest Henkart (qhenkart), Software Architect at Glidr.io (GitHub profile)self-described: Handling API errors in Go | Product or platform team | Published Feb 8, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by EandrewJonesID pc-c116 | Developer Communities | github.com/ | Evan Jones (EandrewJones), Software Engineer at ARLIS (GitHub profile)self-described: Feeding documents to Pinecone Assistant | Product or platform team | Published Jan 27, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| GitHub issue by danbfID pc-c017 | Developer Communities | github.com/ | Dan Meruelo (danbf), GitHub issue reporterself-described: A team testing against Pinecone Local on ARM machines | Product or platform team | Published Jan 17, 2025 | Assessment reviewed Nov 1, 2026 | Current | |
| OverviewID pcd-01 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Hosted embedding modelsID pcd-02 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Integrated embedding defaultsID pcd-03 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| ModelsID pcd-04 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| PricingID pcd-05 | Product Documentation | www.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| LangChainID pcd-06 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| LlamaIndexID pcd-07 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| MCP serverID pcd-08 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Amazon BedrockID pcd-09 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Cloud and region by planID pcd-10 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Bring Your Own CloudID pcd-11 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Understanding costID pcd-12 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Builder has no overageID pcd-13 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| SSOID pcd-14 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| SCIMID pcd-15 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Audit logsID pcd-16 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Data deletionID pcd-17 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| SecurityID pcd-18 | Product Documentation | www.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| ISO 27001 certificationID pcd-19 | Product Documentation | security.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Retention after non-payment and terminationID pcd-20 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Data useID pcd-21 | Product Documentation | www.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Operation limitsID pcd-22 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Rate limitsID pcd-23 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| ConsistencyID pcd-24 | Product Documentation | docs.pinecone.io/ | PineconeOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
